docs: Phase 1 completion report + LLM reasoning off fix

docs/PHASE1_COMPLETION_REPORT.md

@@ -0,0 +1,111 @@
+# Phase 1 Completion Report — v1 (base model)
+
+**File**: Charade (1963) Cary Grant & Audrey Hepburn
+**UUID**: `aeed71342a899fe4b4c57b7d41bcb692`
+**Date**: 2026-05-09
+**System**: M5 (MacBook Pro, 48GB, Apple Silicon)
+
+---
+
+## 1. Processor Outputs
+
+| File | Size | Description |
+|------|------|-------------|
+| `asr.json` | 413KB | 3,417 segments, full movie coverage |
+| `asrx.json` | 307KB | 1,815 segments, 10 speakers |
+| `cut.json` | 329KB | 2,260 scenes |
+| `yolo.json` | 181MB | 169,625 frames with object detections |
+| `face.json` | **106MB** | 4,550 frames, 5,910 faces @ 8Hz (CoreML 512D) |
+| `face_traced.json` | 110MB | Traced faces with identity |
+| `lip.json` | 492KB | Lip openness analysis |
+| `ocr.json` | 277KB | 606 OCR frames |
+| `pose.json` | 26MB | 4,211 pose frames |
+| `scene.json` | 403B | Scene classification |
+
+## 2. Pipeline 8-Stage Checklist
+
+| Stage | Status | Detail |
+|-------|--------|--------|
+| ASR | ✅ | 3,417 segments, last end 6,773s (100%) |
+| ASRX | ✅ | 1,815 segments, 10 speakers |
+| Sentence Chunks | ✅ | 3,417 sentence chunks with text |
+| Vectorization | ✅ | 3,417 PG + Qdrant (768D) |
+| Face Trace | ✅ | 423 traces, 11,820 detections @ 8Hz |
+| TKG Graph | ✅ | 498 nodes, 1,617 edges |
+| Trace Chunks | ✅ | 423 trace chunks with ASR text |
+| Phase 1 Release | ✅ | 483MB package |
+
+## 3. Identity & Knowledge Graph
+
+### TMDb Character Matching (9 characters)
+
+| Character | Traces | Actor |
+|-----------|--------|-------|
+| Audrey Hepburn | 843 | Regina Lampert |
+| Cary Grant | 482 | Peter Joshua |
+| Jacques Marin | 348 | Inspector Grandpierre |
+| James Coburn | 188 | Tex Panthollow |
+| Ned Glass | 176 | Leopold W. Gideon |
+| George Kennedy | 104 | Herman Scobie |
+| Walter Matthau | 104 | Hamilton Bartholomew |
+| Dominique Minot | 45 | Sylvie Gaudel |
+| Raoul Delfosse | 32 | — |
+
+### Speaker Bindings (via Lip Verification)
+
+| Speaker | Identity | Confidence |
+|---------|----------|------------|
+| SPEAKER_2 | Audrey Hepburn | 61% |
+| SPEAKER_4 | Cary Grant | 56% |
+| SPEAKER_5 | Audrey Hepburn | 100% |
+| SPEAKER_6 | Audrey Hepburn | 43% |
+| SPEAKER_7 | Cary Grant | 100% |
+| SPEAKER_8 | Audrey Hepburn | 54% |
+
+### TKG Graph
+
+| Node Type | Count |
+|-----------|-------|
+| Face traces | 423 |
+| Objects | 75 |
+| Total nodes | 498 |
+| Total edges | 1,617 |
+
+### Qdrant Vector Collections
+
+| Collection | Dims | Points | Content |
+|-----------|------|--------|---------|
+| `momentry_dev_v1` | 768 | 3,417 | Sentence chunk embeddings |
+| `momentry_dev_faces` | 512 | **5,910** | Face embeddings (8Hz CoreML) |
+
+## 4. Release Package
+
+| Component | Size |
+|-----------|------|
+| `output_json/` | 11 processor files |
+| `chunks.csv` | 2.2MB |
+| `vectors.csv` | 56MB |
+| `identities.csv` | 973KB |
+| `schema.sql` | 29KB |
+| `RELEASE_INFO.txt` | Metadata |
+| **Total** | **483MB** |
+
+Location: `release/phase1/v1.0.0_20260509_101337/`
+
+## 5. Key Technical Decisions
+
+| Decision | Rationale |
+|----------|-----------|
+| Face 8Hz (interval=3) | 5-15Hz human lip motion needs ≥8Hz sampling |
+| Two-stage face processor | Apple Vision ANE (fast) + CoreML FaceNet (512D) |
+| VNFaceprint not used | KVC returns nil in video pipeline |
+| Face Qdrant separate collection | Face 512D vs chunk 768D — different dimensions |
+| LLM reasoning off | `--reasoning off` needed for non-empty content |
+
+## 6. Phase 2 Preparation
+
+Pending for Phase 2:
+- Rule 3 scene chunking (cut-based parent chunks)
+- 5W1H Agent (LLM-generated scene summaries)
+- Full pipeline + 5W1H release packaging
+- Lip analysis extended to full movie speaker binding

scripts/start_momentry.sh

@@ -85,7 +85,7 @@ if curl -s -o /dev/null -w "%{http_code}" --connect-timeout 5 http://localhost:8
 else
     LLM_BIN="/Users/accusys/llama/bin/llama-server"
     LLM_MODEL="/Users/accusys/models/google_gemma-4-26B-A4B-it-Q5_K_M.gguf"
-    nohup "$LLM_BIN" -m "$LLM_MODEL" --host 0.0.0.0 --port 8082 -ngl 99 -c 16384 --temp 0.1 --mlock > "$LOG_DIR/llama_server.log" 2>&1 &
+    nohup "$LLM_BIN" -m "$LLM_MODEL" --host 0.0.0.0 --port 8082 -ngl 99 -c 16384 --temp 0.1 --mlock --reasoning off > "$LOG_DIR/llama_server.log" 2>&1 &
     echo -e "  ${YELLOW}⏳ loading model (~30s)...${NC}"
     for i in $(seq 1 30); do
         sleep 2