Triple
T6603110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Williams |
E149048
|
entity |
| Predicate | roleInJazzHistory |
P63175
|
FINISHED |
| Object | pioneer of New Orleans jazz in New York |
—
|
LITERAL 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: pioneer of New Orleans jazz in New York | Statement: [Clarence Williams, roleInJazzHistory, pioneer of New Orleans jazz in New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInJazzHistory Context triple: [Clarence Williams, roleInJazzHistory, pioneer of New Orleans jazz in New York]
-
A.
inMusicHistory
chosen
Indicates that something is recorded, referenced, or recognized within the context of music history.
-
B.
workedAsSessionMusicianFor
Indicates that one entity performed as a session musician providing musical services or recordings for another entity, typically an artist, band, or production.
-
C.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
-
D.
notableKeyboardist
Indicates that the subject is a keyboard player who is widely recognized or distinguished for their skill, influence, or prominence.
-
E.
notableConductor
Indicates that the subject is a conductor who is recognized as notable or distinguished in their field.
- F. None of above.
Provenance (3 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.