Triple
T9570862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Weinberg |
E230911
|
entity |
| Predicate | notableInstrumentStyle |
P70900
|
FINISHED |
| Object | aggressive double-bass drumming |
—
|
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: aggressive double-bass drumming | Statement: [Jay Weinberg, notableInstrumentStyle, aggressive double-bass drumming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInstrumentStyle Context triple: [Jay Weinberg, notableInstrumentStyle, aggressive double-bass drumming]
-
A.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
B.
notableInstrumentTechnique
chosen
Indicates that an entity is particularly recognized for using, developing, or being associated with a specific musical instrument technique.
-
C.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
D.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998ab5948190be78db4eed7825a0 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.