Triple
T24008304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Coltrane Quartet |
E594449
|
entity |
| Predicate | rhythmSectionMember |
P130806
|
FINISHED |
| Object | McCoy Tyner |
—
|
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: McCoy Tyner | Statement: [John Coltrane Quartet, rhythmSectionMember, McCoy Tyner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhythmSectionMember Context triple: [John Coltrane Quartet, rhythmSectionMember, McCoy Tyner]
-
A.
rhythmSectionPerformer
chosen
Indicates that a performer participates specifically as a member of the rhythm section within a musical ensemble.
-
B.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
C.
musicalEnsembleRole
Indicates the specific function or position an individual holds within a musical ensemble, such as performer, conductor, or composer.
-
D.
bandMemberContributor
Indicates that an entity contributes to a band in the role of a member, participating in its musical or creative activities.
-
E.
houseBandMember
Indicates that a person is a member of a house band, typically performing regularly as part of that resident musical group.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d46ba1f88190a204d8cfb0f64be6 |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:41 p.m.