Triple
T24602126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of the Blues |
E608854
|
entity |
| Predicate | usedInMusicIndustryFor |
P8461
|
FINISHED |
| Object | Koko Taylor |
—
|
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: Koko Taylor | Statement: [Queen of the Blues, usedInMusicIndustryFor, Koko Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInMusicIndustryFor Context triple: [Queen of the Blues, usedInMusicIndustryFor, Koko Taylor]
-
A.
usesMusicFor
Indicates that one entity employs or applies music as a means, tool, or resource to achieve or support some purpose, activity, or effect for another entity or context.
-
B.
usedAsInstrumentBy
Indicates that one entity functions as a tool, means, or instrument through which another entity performs an action or achieves an effect.
-
C.
usedInIndustry
chosen
Indicates that something is employed or applied within a particular industry or industrial sector.
-
D.
instrumentsUsedBy
Indicates that a particular instrument, tool, or device is employed or utilized by a given entity to perform an action or achieve a result.
-
E.
primaryMusicIndustry
Indicates that the entity’s main or most significant involvement or role is within the music industry.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.