diff --git a/src/ai/insight_generator.rs b/src/ai/insight_generator.rs
index 2aac683..3617261 100644
--- a/src/ai/insight_generator.rs
+++ b/src/ai/insight_generator.rs
@@ -3525,6 +3525,7 @@ Return ONLY the summary, nothing else."#,
              - Use recall_facts_for_photo + recall_entities to load any prior knowledge about subjects in the photo.\n\
              - When you identify people / places / events / things, use store_entity + store_fact to grow the persistent memory.\n\
              - Before store_entity, call recall_entities to check whether a similar name already exists; reuse the existing entity_id rather than creating a near-duplicate (e.g. \"Sara\" vs \"Sarah J.\"). The DAO will collapse obvious cosine matches, but choosing the existing id keeps facts and photo links consolidated.\n\
+             - Predicates should be relationship-shaped verbs that encode a queryable claim — `lives_in`, `works_at`, `attended`, `is_friend_of`, `is_parent_of`, `interested_in`, `married_to`, `owns`. DO NOT use vague speech-act predicates like `expressed`, `said`, `mentioned`, `stated`, `quoted`, `noted`, `discussed`, `thought`, `wondered`. DO NOT store quotations or sentence fragments as `object_value` — paraphrase into a structured claim. Bad: `(Cameron, expressed, \"I'm tempted to get a part-time job there\")`. Good: `(Cameron, considered_employment_at, <Place>)` or `(Cameron, interested_in, \"part-time work\")`.\n\
              - A tool returning no results is informative; continue with the others.",
         );
 
diff --git a/src/database/knowledge_dao.rs b/src/database/knowledge_dao.rs
index 028454b..069dd38 100644
--- a/src/database/knowledge_dao.rs
+++ b/src/database/knowledge_dao.rs
@@ -205,6 +205,30 @@ pub trait KnowledgeDao: Sync + Send {
         persona: &PersonaFilter,
     ) -> Result<(Vec<(Entity, i64)>, i64), DbError>;
 
+    /// Aggregate the user's active+reviewed facts by predicate so
+    /// the curation UI can flag noisy verbs ("expressed", "said") and
+    /// bulk-reject. Persona-scoped via the existing PersonaFilter
+    /// pattern. Sorted by count desc.
+    fn get_predicate_stats(
+        &mut self,
+        cx: &opentelemetry::Context,
+        persona: &PersonaFilter,
+        limit: usize,
+    ) -> Result<Vec<(String, i64)>, DbError>;
+
+    /// Bulk reject every active fact under a given predicate
+    /// (persona-scoped). Returns the number of rows touched. Used by
+    /// the predicate-cleanup UI to nuke noise verbs in one click.
+    /// Stamps last_modified_* with the caller-supplied audit so the
+    /// action shows up in the recent-edits feed.
+    fn bulk_reject_facts_by_predicate(
+        &mut self,
+        cx: &opentelemetry::Context,
+        persona: &PersonaFilter,
+        predicate: &str,
+        audit: Option<(&str, &str)>,
+    ) -> Result<usize, DbError>;
+
     /// Build a graph snapshot — entities as nodes (fact count from
     /// the active persona scope), relational facts as edges. Used
     /// by the curation UI's graph view. Filters:
@@ -872,6 +896,122 @@ impl KnowledgeDao for SqliteKnowledgeDao {
         .map_err(|_| DbError::new(DbErrorKind::QueryError))
     }
 
+    fn get_predicate_stats(
+        &mut self,
+        cx: &opentelemetry::Context,
+        persona: &PersonaFilter,
+        limit: usize,
+    ) -> Result<Vec<(String, i64)>, DbError> {
+        trace_db_call(cx, "query", "get_predicate_stats", |_span| {
+            use diesel::sql_query;
+            use diesel::sql_types::{BigInt, Integer, Text};
+
+            // Active + reviewed only — rejected / superseded are
+            // already off the agent's read path so they shouldn't
+            // count toward "what predicates are noisy in production".
+            let where_sql = match persona {
+                PersonaFilter::Single { .. } => {
+                    "WHERE user_id = ? AND persona_id = ? \
+                     AND status IN ('active','reviewed')"
+                }
+                PersonaFilter::All { .. } => {
+                    "WHERE user_id = ? AND status IN ('active','reviewed')"
+                }
+            };
+            let sql = format!(
+                "SELECT predicate, COUNT(*) AS cnt FROM entity_facts \
+                 {where_sql} \
+                 GROUP BY predicate \
+                 ORDER BY cnt DESC \
+                 LIMIT ?",
+            );
+
+            #[derive(diesel::QueryableByName)]
+            struct Row {
+                #[diesel(sql_type = Text)]
+                predicate: String,
+                #[diesel(sql_type = BigInt)]
+                cnt: i64,
+            }
+
+            let mut conn = self.connection.lock().expect("KnowledgeDao lock");
+            let mut q = sql_query(sql).into_boxed();
+            match persona {
+                PersonaFilter::Single { user_id, persona_id } => {
+                    q = q
+                        .bind::<Integer, _>(*user_id)
+                        .bind::<Text, _>(persona_id.clone());
+                }
+                PersonaFilter::All { user_id } => {
+                    q = q.bind::<Integer, _>(*user_id);
+                }
+            }
+            q = q.bind::<BigInt, _>(limit as i64);
+
+            let rows: Vec<Row> = q
+                .load(conn.deref_mut())
+                .map_err(|e| anyhow::anyhow!("Query error: {}", e))?;
+            Ok(rows.into_iter().map(|r| (r.predicate, r.cnt)).collect())
+        })
+        .map_err(|_| DbError::new(DbErrorKind::QueryError))
+    }
+
+    fn bulk_reject_facts_by_predicate(
+        &mut self,
+        cx: &opentelemetry::Context,
+        persona: &PersonaFilter,
+        target_predicate: &str,
+        audit: Option<(&str, &str)>,
+    ) -> Result<usize, DbError> {
+        trace_db_call(cx, "update", "bulk_reject_facts_by_predicate", |_span| {
+            use schema::entity_facts::dsl::*;
+            let mut conn = self.connection.lock().expect("KnowledgeDao lock");
+
+            let now = chrono::Utc::now().timestamp();
+            let (audit_model, audit_backend) = match audit {
+                Some((m, b)) => (Some(m.to_string()), Some(b.to_string())),
+                None => (None, None),
+            };
+
+            // Persona scoping mirrors get_predicate_stats. Only ACTIVE
+            // rows flip — REVIEWED survives so the curator can preserve
+            // a hand-approved exception under the same predicate.
+            let touched = match persona {
+                PersonaFilter::Single { user_id: uid, persona_id: pid } => diesel::update(
+                    entity_facts
+                        .filter(predicate.eq(target_predicate))
+                        .filter(user_id.eq(*uid))
+                        .filter(persona_id.eq(pid))
+                        .filter(status.eq("active")),
+                )
+                .set((
+                    status.eq("rejected"),
+                    last_modified_by_model.eq(audit_model.clone()),
+                    last_modified_by_backend.eq(audit_backend.clone()),
+                    last_modified_at.eq(Some(now)),
+                ))
+                .execute(conn.deref_mut())
+                .map_err(|e| anyhow::anyhow!("Bulk reject error: {}", e))?,
+                PersonaFilter::All { user_id: uid } => diesel::update(
+                    entity_facts
+                        .filter(predicate.eq(target_predicate))
+                        .filter(user_id.eq(*uid))
+                        .filter(status.eq("active")),
+                )
+                .set((
+                    status.eq("rejected"),
+                    last_modified_by_model.eq(audit_model.clone()),
+                    last_modified_by_backend.eq(audit_backend.clone()),
+                    last_modified_at.eq(Some(now)),
+                ))
+                .execute(conn.deref_mut())
+                .map_err(|e| anyhow::anyhow!("Bulk reject error: {}", e))?,
+            };
+            Ok(touched)
+        })
+        .map_err(|_| DbError::new(DbErrorKind::UpdateError))
+    }
+
     fn build_entity_graph(
         &mut self,
         cx: &opentelemetry::Context,
diff --git a/src/knowledge.rs b/src/knowledge.rs
index fa1142b..4c3f5a8 100644
--- a/src/knowledge.rs
+++ b/src/knowledge.rs
@@ -359,6 +359,27 @@ pub struct GraphResponse {
     pub edges: Vec<GraphEdgeView>,
 }
 
+#[derive(Deserialize)]
+pub struct PredicateStatsQuery {
+    pub limit: Option<i64>,
+}
+
+#[derive(Serialize)]
+pub struct PredicateStat {
+    pub predicate: String,
+    pub count: i64,
+}
+
+#[derive(Serialize)]
+pub struct PredicateStatsResponse {
+    pub predicates: Vec<PredicateStat>,
+}
+
+#[derive(Serialize)]
+pub struct BulkRejectResponse {
+    pub rejected: usize,
+}
+
 #[derive(Deserialize)]
 pub struct ConsolidationQuery {
     /// Cosine threshold for clustering. Default 0.85 — looser than
@@ -421,7 +442,15 @@ where
                 web::resource("/consolidation-proposals")
                     .route(web::get().to(get_consolidation_proposals::<D>)),
             )
-            .service(web::resource("/graph").route(web::get().to(get_graph::<D>))),
+            .service(web::resource("/graph").route(web::get().to(get_graph::<D>)))
+            .service(
+                web::resource("/predicate-stats")
+                    .route(web::get().to(get_predicate_stats::<D>)),
+            )
+            .service(
+                web::resource("/predicates/{predicate}/bulk-reject")
+                    .route(web::post().to(bulk_reject_predicate::<D>)),
+            ),
     )
 }
 
@@ -1192,6 +1221,60 @@ async fn get_recent<D: KnowledgeDao + 'static>(
     }
 }
 
+async fn get_predicate_stats<D: KnowledgeDao + 'static>(
+    req: HttpRequest,
+    claims: Claims,
+    query: web::Query<PredicateStatsQuery>,
+    dao: web::Data<Mutex<D>>,
+    persona_dao: PersonaDaoData,
+) -> impl Responder {
+    let limit = query.limit.unwrap_or(100).clamp(1, 500) as usize;
+    let persona = resolve_persona_filter(&req, &claims, &persona_dao);
+    let cx = opentelemetry::Context::current();
+    let mut dao = dao.lock().expect("Unable to lock KnowledgeDao");
+    match dao.get_predicate_stats(&cx, &persona, limit) {
+        Ok(rows) => HttpResponse::Ok().json(PredicateStatsResponse {
+            predicates: rows
+                .into_iter()
+                .map(|(predicate, count)| PredicateStat { predicate, count })
+                .collect(),
+        }),
+        Err(e) => {
+            log::error!("get_predicate_stats error: {:?}", e);
+            HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
+        }
+    }
+}
+
+async fn bulk_reject_predicate<D: KnowledgeDao + 'static>(
+    req: HttpRequest,
+    claims: Claims,
+    predicate: web::Path<String>,
+    dao: web::Data<Mutex<D>>,
+    persona_dao: PersonaDaoData,
+) -> impl Responder {
+    let predicate = predicate.into_inner();
+    if predicate.trim().is_empty() {
+        return HttpResponse::BadRequest()
+            .json(serde_json::json!({"error": "predicate must not be empty"}));
+    }
+    let persona = resolve_persona_filter(&req, &claims, &persona_dao);
+    let cx = opentelemetry::Context::current();
+    let mut dao = dao.lock().expect("Unable to lock KnowledgeDao");
+    match dao.bulk_reject_facts_by_predicate(
+        &cx,
+        &persona,
+        &predicate,
+        Some(("manual", "manual")),
+    ) {
+        Ok(rejected) => HttpResponse::Ok().json(BulkRejectResponse { rejected }),
+        Err(e) => {
+            log::error!("bulk_reject_predicate error: {:?}", e);
+            HttpResponse::InternalServerError().json(serde_json::json!({"error": "Database error"}))
+        }
+    }
+}
+
 async fn get_graph<D: KnowledgeDao + 'static>(
     req: HttpRequest,
     claims: Claims,