Triple
T6331281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cootie Williams |
E142385
|
entity |
| Predicate | notableInstrumentTechnique |
P70900
|
FINISHED |
| Object | growl trumpet |
—
|
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: growl trumpet | Statement: [Cootie Williams, notableInstrumentTechnique, growl trumpet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInstrumentTechnique Context triple: [Cootie Williams, notableInstrumentTechnique, growl trumpet]
-
A.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
B.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
teachesInstrument
Indicates that one entity provides instruction or lessons to another entity on how to play a musical instrument.
-
E.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06514cbe8819096dbeb17ccb3e3d5 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:30 p.m.