Triple
T24746304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazz Samba |
E618706
|
entity |
| Predicate | catalogNumber |
P8090
|
FINISHED |
| Object |
Verve V6-8432
Verve V6-8432 is the stereo LP catalog number for the Verve Records release of the influential 1962 jazz album "Jazz Samba" by Stan Getz and Charlie Byrd.
|
E1654444
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Verve V6-8432 | Statement: [Jazz Samba, catalogNumber, Verve V6-8432]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verve V6-8432 Triple: [Jazz Samba, catalogNumber, Verve V6-8432]
Generated description
Verve V6-8432 is the stereo LP catalog number for the Verve Records release of the influential 1962 jazz album "Jazz Samba" by Stan Getz and Charlie Byrd.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4105a49388190a04307aad25b07e9 |
completed | May 1, 2026, 2:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c030a9c81909368f2986bec3742 |
completed | May 22, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_6a1028143b4c8190b89ad73aecb56e0d |
completed | May 22, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1029a084708190a87c7d2add8f4688 |
completed | May 22, 2026, 10:02 a.m. |
Created at: April 18, 2026, 4:21 a.m.