Triple
T751112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Original Score |
E15448
|
entity |
| Predicate | nominationLimit |
P12579
|
FINISHED |
| Object | up to five nominees per year |
—
|
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: up to five nominees per year | Statement: [Academy Award for Best Original Score, nominationLimit, up to five nominees per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominationLimit Context triple: [Academy Award for Best Original Score, nominationLimit, up to five nominees per year]
-
A.
maximumNominationsPerFilm
Indicates the highest number of nominations that any single film is allowed to receive.
-
B.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
C.
nominationsFrom
Indicates that one entity has put forward or proposed another entity as a candidate for a position, award, or recognition.
-
D.
nominated
Indicates that one entity formally proposes or selects another entity for a position, role, award, or recognition.
-
E.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64c67748190aef3522b4b428563 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a501c4cc81908de6d63e3d4f60d7 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.