Triple
T22782018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Jazz Vocal Performance, Female |
E563864
|
entity |
| Predicate | isFormerAwardCategory |
P149703
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grammy Award for Best Jazz Vocal Performance, Female, isFormerAwardCategory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormerAwardCategory Context triple: [Grammy Award for Best Jazz Vocal Performance, Female, isFormerAwardCategory, true]
-
A.
formerlyAwardedIn
Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
-
B.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
C.
isHistoricAward
Indicates that an award is recognized as historically significant, typically due to its age, legacy, or long-standing impact.
-
D.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
E.
awardIsPrecursorOf
Indicates that one award precedes and leads to another award in a sequence or progression.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2dd250819093a5c49806916ec4 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:28 p.m.