Triple
T30206606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Awards for rock music |
E767940
|
entity |
| Predicate | notableGenreSubdivision |
P81889
|
FINISHED |
| Object | hard rock |
—
|
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: hard rock | Statement: [Grammy Awards for rock music, notableGenreSubdivision, hard rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreSubdivision Context triple: [Grammy Awards for rock music, notableGenreSubdivision, hard rock]
-
A.
notableGenreOfFilm
Indicates that a particular genre is especially characteristic, prominent, or noteworthy for a given film.
-
B.
hasNotableSubgenre
chosen
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
C.
notableCollectionGenre
Indicates that a collection is recognized as notable specifically within a given genre.
-
D.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
E.
secondaryGenre
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:31 p.m.