Triple
T35951369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Rhythm & Blues Recording |
E1039736
|
entity |
| Predicate | awardCategoryForGenre |
P56334
|
FINISHED |
| Object | R&B |
—
|
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: R&B | Statement: [Grammy Award for Best Rhythm & Blues Recording, awardCategoryForGenre, R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryForGenre Context triple: [Grammy Award for Best Rhythm & Blues Recording, awardCategoryForGenre, R&B]
-
A.
awardGenreFocus
chosen
Indicates that an award specifically recognizes or emphasizes works within a particular genre.
-
B.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
C.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
-
D.
genreOfAwardedFilm
Indicates the genre category associated with a film that has received an award.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:07 p.m.