Triple
T29929354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Fire |
E760171
|
entity |
| Predicate | personnelPiano |
P85583
|
FINISHED |
| Object | Andrew Hill |
—
|
NE NERFINISHED |
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: Andrew Hill | Statement: [Black Fire, personnelPiano, Andrew Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personnelPiano Context triple: [Black Fire, personnelPiano, Andrew Hill]
-
A.
hasPianist
chosen
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
B.
firstPerformerPiano
Indicates that the referenced entity is the first (primary or earliest) performer on the piano in a given performance or musical context.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
isPianoDriven
Indicates that something is primarily led, dominated, or characterized by the piano in its musical arrangement or performance.
-
E.
hasPianos
Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677cecd448190be16545c3d34920e |
completed | May 2, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:17 p.m.