Triple
T2222190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Score Soundtrack for Visual Media |
E48164
|
entity |
| Predicate | awardCategoryWithin |
P1498
|
FINISHED |
| Object | Music for Visual Media field |
—
|
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: Music for Visual Media field | Statement: [Grammy Award for Best Score Soundtrack for Visual Media, awardCategoryWithin, Music for Visual Media field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryWithin Context triple: [Grammy Award for Best Score Soundtrack for Visual Media, awardCategoryWithin, Music for Visual Media field]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardClass
chosen
Indicates the classification or category assigned to an award within an award-giving system.
-
C.
awardName
Indicates the specific name or title of an award associated with an entity.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardCycle
Indicates the recurring period or schedule on which an award is granted or evaluated.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.