Triple
T29997392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil McBee |
E762066
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Billy Harper
Billy Harper is an American jazz tenor saxophonist and composer known for his powerful, spiritually infused playing and work with Art Blakey, Max Roach, and his own ensembles.
|
E1895659
|
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: Billy Harper | Statement: [Cecil McBee, associatedAct, Billy Harper]
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: Billy Harper Triple: [Cecil McBee, associatedAct, Billy Harper]
Generated description
Billy Harper is an American jazz tenor saxophonist and composer known for his powerful, spiritually infused playing and work with Art Blakey, Max Roach, and his own ensembles.
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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6794c44c881908db0716b99c32481 |
completed | May 2, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a272207ae8081908bbeb18c2bd707bb |
completed | June 8, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_6a272692d2c0819093d562fab42e2dc0 |
completed | June 8, 2026, 8:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27270360388190ad03789dfaecf51f |
completed | June 8, 2026, 8:33 p.m. |
Created at: April 29, 2026, 6:40 p.m.