Triple
T24549107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Williams' Blue Five |
E607308
|
entity |
| Predicate | leaderRoleOfClarenceWilliams |
P156282
|
FINISHED |
| Object | pianist |
—
|
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: pianist | Statement: [Clarence Williams' Blue Five, leaderRoleOfClarenceWilliams, pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaderRoleOfClarenceWilliams Context triple: [Clarence Williams' Blue Five, leaderRoleOfClarenceWilliams, pianist]
-
A.
roleOfCecilWilliams
Indicates that Cecil Williams holds or performs a particular role or function in relation to another entity.
-
B.
hasCreativeRoleOfClarenceMuse
Indicates that an entity holds a creative role specifically associated with Clarence Muse in a work or production.
-
C.
performerRoleOfJamesBrown
Indicates that the specified role is one that was performed or held by James Brown.
-
D.
Huddie Ledbetter
Indicates a relationship or context specifically involving the individual named Huddie Ledbetter, such as authorship, performance, or attribution connected to him.
-
E.
roleOfJimCrowley
Indicates that the specified role or position is held or performed by Jim Crowley.
- F. None of above. chosen
Provenance (4 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cc2838819087d3fd429f12b525 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.