Triple
T31133216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture for Capote |
E793566
|
entity |
| Predicate | nominatedFilmTitle |
P92744
|
FINISHED |
| Object | Capote |
—
|
NE NERFINISHED |
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: Capote | Statement: [Academy Award for Best Picture for Capote, nominatedFilmTitle, Capote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominatedFilmTitle Context triple: [Academy Award for Best Picture for Capote, nominatedFilmTitle, Capote]
-
A.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
B.
sourceFilmTitle
Indicates the title of the film from which a referenced work, element, or derivative content originates.
-
C.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
-
D.
film6Title
Indicates the title assigned to the sixth film in a sequence or collection.
-
E.
bestPictureNominee
chosen
Indicates that a film was officially nominated for the Best Picture award in a given awards event.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:05 p.m.