Triple
T12667751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMI Film Music Award for John Williams |
E302600
|
entity |
| Predicate | workAwardedType |
P8623
|
FINISHED |
| Object | feature film |
—
|
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: feature film | Statement: [BMI Film Music Award for John Williams, workAwardedType, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAwardedType Context triple: [BMI Film Music Award for John Williams, workAwardedType, feature film]
-
A.
hasAwardedWorkType
chosen
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
B.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
C.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardedFrom
Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.