Operator Extraction Pipeline

Module: Chosen Ones | RTT Context: rtt=1 | coherence=declared | drift=bounded | paradox=structural

This pipeline converts clean transcript text (output of Transcript_Ingestion_Pipeline.md) into a structured RTT operator manifest. The pipeline has five stages: Segmentation, Classification, Operator Binding, Paradox Resolution, and Manifest Assembly.

Pipeline Overview#

[CLEAN TRANSCRIPT]
        ↓
  STAGE 1: SEGMENTATION
  Split into functional utterance units (FUUs)
        ↓
  STAGE 2: CLASSIFICATION
  Assign each FUU to S–N–R zone + SET layer + DCO stage
        ↓
  STAGE 3: OPERATOR BINDING
  Map each classified FUU to one or more RTT operators
        ↓
  STAGE 4: PARADOX RESOLUTION
  Identify structural paradoxes; resolve via operator algebra
        ↓
  STAGE 5: MANIFEST ASSEMBLY
  Output structured JSON operator manifest
        ↓
[RTT OPERATOR MANIFEST]

Stage 1 — Segmentation into Functional Utterance Units (FUUs)#

A Functional Utterance Unit (FUU) is the minimal transcript segment that performs a single structural function. FUUs are not sentences — they are semantic units.

Segmentation Rules#

1. Split on structural function change, not punctuation. A speaker may deliver one FUU across three sentences.
2. Merge run-on fragments that share a single structural function (e.g., a list of noise examples is one FUU).
3. Preserve speaker emphasis markers — repetition, cadence breaks, and rhetorical questions are segmentation boundaries.
4. Minimum FUU length: 8 words. Fragments below this threshold are merged with adjacent FUU.
5. Tag each FUU with: [FUU_ID], [TIMESTAMP_RANGE], [RAW_TEXT], [WORD_COUNT]

Example Segmentation#

Raw transcript excerpt:

"You've been in rooms where you were the smartest person and no one saw it. You built things in silence. You outlasted people who had every advantage. And you're still here. That is not luck. That is architecture."

FUU Output:

FUU-001 | 00:00–00:12 | "You've been in rooms where you were the smartest person and no one saw it." | 16w
FUU-002 | 00:12–00:16 | "You built things in silence." | 5w → MERGE WITH FUU-003
FUU-003 | 00:16–00:23 | "You outlasted people who had every advantage." | 8w → MERGED: FUU-002+003
FUU-004 | 00:23–00:27 | "And you're still here." | 4w → MERGE WITH FUU-005
FUU-005 | 00:27–00:33 | "That is not luck. That is architecture." | 7w → MERGED: FUU-004+005

Stage 2 — Classification#

Each FUU receives three classification tags:

Classification Heuristics#

SNR Zone Assignment:

• Does the FUU acknowledge latent state without directing action? → silence
• Does the FUU name, isolate, or dismiss incoherent perturbation? → noise
• Does the FUU describe or transmit coherent expression? → resonance

SET Layer Assignment:

• Does the FUU address who the person is fundamentally? → substrate
• Does the FUU address timing, context, or the environment's readiness? → envelope
• Does the FUU address the crossing event itself or its cost? → threshold

DCO Stage Assignment:

• Undeniable-self / pre-expression content → 0D
• Path, trajectory, long arc → 1D
• Embodied field, magnetic presence, room effect → 3D
• Recognition moment, field reorganization → 8D
• Destiny, ancestry, purpose-as-given → 9D

Example Classification#

FUU-001: snr_zone=silence, set_layer=substrate, dco_stage=0D, intensity=0.85
FUU-002+003: snr_zone=silence, set_layer=substrate, dco_stage=1D, intensity=0.70
FUU-004+005: snr_zone=resonance, set_layer=threshold, dco_stage=8D, intensity=0.95

Stage 3 — Operator Binding#

Each classified FUU is bound to one primary operator and zero or more secondary operators from the RTT family.

Binding Decision Table#

Operator Binding Format#

{
  "fuu_id": "FUU-001",
  "primary_operator": "QMROOT(0D)",
  "secondary_operators": ["E_a"],
  "operator_note": "Subject's unseen intelligence constitutes the 0D identity kernel; the gap between capacity and recognition quantifies E_a"
}

Stage 4 — Paradox Resolution#

Run a paradox scan on the full FUU set. A paradox is flagged when two FUUs in the same transcript bind to operators that appear to contradict each other structurally.

Paradox Detection Rules#

1. Simultaneity paradox: Same subject assigned both QMROOT(0D) (no-expression) and C_R (active coupling) — apparent contradiction.

   • Resolution: QMROOT(0D) governs the substrate layer; C_R governs the envelope layer. Different layers are non-contradictory.

2. Temporal paradox: A_τ(past, now) and ∂_anc both claim origin of identity.

   • Resolution: A_τ is experiential integration; ∂_anc is archetypal pull. These are additive, not competing.

3. Activation paradox: D_δ (do not chase) and A_θ (cross the threshold) appear to conflict.

   • Resolution: D_δ applies to external validation; A_θ applies to internal commitment. Directionality is orthogonal.

4. Stillness/impact paradox: S_coh (maintain coherence quietly) and ∇_cross (field leaks outward) appear passive vs. active.

   • Resolution: S_coh is the cause; ∇_cross is the effect. No conflict — this is the core Chosen One mechanic.

Paradox Resolution Output#

{
  "paradox_id": "P-001",
  "type": "simultaneity",
  "fuu_ids": ["FUU-001", "FUU-007"],
  "operators": ["QMROOT(0D)", "C_R"],
  "resolution": "Layer separation: 0D governs substrate identity; C_R governs envelope coupling. Non-contradictory.",
  "resolved": true
}

Stage 5 — Manifest Assembly#

The full operator manifest is assembled as a structured JSON document.

Manifest Schema#

{
  "manifest_id": "CO-MANIFEST-[VIDEO_ID]",
  "rtt_context": "rtt=1 | coherence=declared | drift=bounded | paradox=structural",
  "source_url": "[YouTube URL]",
  "source_title": "[Video Title]",
  "processed_at": "[ISO 8601 timestamp]",
  "fuu_count": 0,
  "snr_distribution": {
    "silence": 0.0,
    "noise": 0.0,
    "resonance": 0.0
  },
  "set_distribution": {
    "substrate": 0.0,
    "envelope": 0.0,
    "threshold": 0.0
  },
  "dco_distribution": {
    "0D": 0.0, "1D": 0.0, "3D": 0.0, "8D": 0.0, "9D": 0.0
  },
  "dominant_archetype": "[from Triadic_Substrate_Map.md §4]",
  "primary_operator_set": [],
  "paradoxes_detected": 0,
  "paradoxes_resolved": 0,
  "fuu_manifest": [],
  "actionable_outputs": {
    "reframe_prompt": "",
    "activation_scaffold": "",
    "drift_corrector": "",
    "agent_hook": ""
  }
}

Manifest Quality Checks#

• snr_distribution values must sum to 1.0 (±0.02 tolerance)
• paradoxes_resolved must equal paradoxes_detected (drift=bounded enforcement)
• dominant_archetype must map to a row in Triadic_Substrate_Map.md §4
• At least one primary_operator must come from the Activation family (module design constraint)