Triple
T32812517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1951 Academy Awards |
E839192
|
entity |
| Predicate | bestScoringDramaticOrComedyPictureWinner |
P57774
|
FINISHED |
| Object | Sunset Boulevard |
—
|
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: Sunset Boulevard | Statement: [1951 Academy Awards, bestScoringDramaticOrComedyPictureWinner, Sunset Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestScoringDramaticOrComedyPictureWinner Context triple: [1951 Academy Awards, bestScoringDramaticOrComedyPictureWinner, Sunset Boulevard]
-
A.
bestScoringOfADramaticOrComedyPictureWinner
chosen
Indicates that the subject is the winner for best scoring of a dramatic or comedy motion picture.
-
B.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
C.
bestPictureNominee
Indicates that a film was officially nominated for the Best Picture award in a given awards event.
-
D.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
E.
bestStoryAndScreenplayMusicalOrComedyWinner
Indicates that the subject is the winner of the award for best story and screenplay in the musical or comedy category.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.