knowledge graph entity fixes

packages/memory-service/src/entities/extraction.js

@@ -6,7 +6,7 @@ const EXTRACTION_URL = getEnv('EXTRACTION_URL', 'http://localhost:11434');
 const EXTRACTION_MODEL = getEnv('EXTRACTION_MODEL', 'qwen2.5:3b'); // ChatML format — see buildExtractionPrompt
 const EMBEDDING_SERVICE_URL = getEnv('EMBEDDING_SERVICE_URL', SERVICES.EMBEDDING_URL);
 
-const ENTITY_TYPES = ['person', 'place', 'project', 'technology', 'concept', 'organization'];
+const ENTITY_TYPES = ENTITIES.TYPES;
 const IGNORED_NAMES = ['good morning', 'good night', 'hello', 'goodbye', 'thanks', 'thank you'];
 
 // NOTE: This prompt uses ChatML format (<|im_start|> / <|im_end|> tags), which is

packages/memory-service/src/entities/index.js

@@ -7,8 +7,8 @@ const { parseRow } = require ('@nexusai/shared')
 function upsertEntity(name, type, notes = null, metadata = null, source = 'extraction') {
     const db = getDB();
 const stmt = db.prepare(`
-    INSERT INTO entities (name, type, notes, metadata, source)
-    VALUES (?, ?, ?, ?, ?)
+    INSERT INTO entities (name, type, notes, metadata, source, last_seen_at)
+    VALUES (?, ?, ?, ?, ?, unixepoch())
     ON CONFLICT(name, type) DO UPDATE SET
         -- First extraction wins: notes are never overwritten once set.
         -- Revisit during Memory Consolidation Lifecycle (Phase 2) — once entity