4.1 KiB
GTM-Hub meeting — 2026-09-07
Durable real-world regression case for a German GTM-Hub meeting. This is a private real-meeting sample; do not publish or redistribute it outside the intended development context.
Case metadata
- Case ID:
gtm_hub_2026-09-07 - Meeting: GTM-Hub Meeting, 2026-09-07
- Duration: about 78 min 36 s (4,715.52 s from existing diarization metadata)
- Context: a biweekly cross-functional board meeting about coordinating projects for new markets, products, and applications; this discussion focused initially on administrative questions and process definition.
- Participants: five confirmed participants: Malte Schnau, Henning Ehrenberg, Björn-Erik Falkenau, Martin Tazl, and Jovana Husemann.
Contents and provenance
transcript/transcript.txt is the exact compact diarized transcript
representation supplied to both comparable Meeting Assistant protocol calls;
it is the evidentiary source for evaluation. It is byte-identical to both
source runs' protocol/transcript_input.txt files (SHA-256
42ac52223cac36eeeb7c01e6d6673b2fb50973c4365b5ddaafdd12927b2f12eb).
The source plain Whisper transcripts were also identical between the two runs,
but are not copied because they were not the exact representation supplied to
protocol generation.
| Case file | Meeting Assistant source | Generation | Speaker status |
|---|---|---|---|
references/meeting_assistant_anonymous_speakers.md |
data/meetings/gtm-hub-meeting-2026-09-07/runs/b895cda2_2026-09-07_11-18-54_GTM-HUB_20260909_025239/protocol.md |
2026-09-09 01:00:46 UTC; qwen3.8:27b |
Diarized with anonymous SPEAKER_XX labels; zero confirmed speaker-to-person mappings. |
references/meeting_assistant_speaker.md |
data/meetings/gtm-hub-meeting-2026-09-07/runs/284a47be_2026-09-07_11-18-54_GTM-HUB_20260909_031106/protocol.md |
2026-09-09 01:30:44 UTC; qwen3.8:27b |
Diarized with the same anonymous labels plus five confirmed speaker-to-person mappings in the prompt/context. |
references/human_protocol_malte.txt |
copied human colleague reference supplied for this case | not generated | author identified as Malte by filename; preserve unchanged. |
Both runs have meeting ID gtm-hub-meeting-2026-09-07, title/date
GTM-Hub Meeting 2026-09-07, the same source recording name and size
(154,620,897-byte FLAC), the same 4,715.52-second prepared-audio duration, the
same Whisper model (ggml-large-v3-turbo.bin), and the same protocol model,
temperature (0), context window (32,768), and compact diarized transcript
selection. Their Meeting Context V1 files identify the same meeting and four
shared confirmed participants; the speaker-aware context additionally includes
Jovana Husemann and the five confirmed mappings. Exact run IDs, hashes, flags,
and paths are in manifest.json.
The source runs were separate full-pipeline executions: their audio, transcription, diarization, and exact protocol-input artifacts are byte-identical, but the mapped-speaker run is not operational evidence that it reused the anonymous-speaker run's Whisper or diarization artifacts. This case therefore compares equivalent diarized input conditions with different speaker identity mappings only.
Evaluation role
The transcript is the evidentiary source. The human colleague protocol is not a gold protocol: it is a human reference showing what an experienced participant considered worth preserving in a concise working protocol. The two Meeting Assistant files are comparison variants. This case must not force a system to imitate the human protocol verbatim.
This is a valuable regression case because a long, five-speaker discussion contains competing mental models, repeated disagreement and clarification, and only partial convergence. It distinguishes strategic collection/evaluation and coordination from QMS/process documentation and operational project work. It also discusses responsibility repeatedly without always creating a concrete personal commitment.
See evaluation.md for the qualitative comparison and explicit regression
expectations. No audio, raw model response, container log, or other unrelated
run artifacts are intentionally included.