Triple
T32687314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 75th Golden Globe Awards |
E835759
|
entity |
| Predicate | bestActressFilmDramaWinnerWork |
P91489
|
FINISHED |
| Object | Three Billboards Outside Ebbing, Missouri |
—
|
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: Three Billboards Outside Ebbing, Missouri | Statement: [75th Golden Globe Awards, bestActressFilmDramaWinnerWork, Three Billboards Outside Ebbing, Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestActressFilmDramaWinnerWork Context triple: [75th Golden Globe Awards, bestActressFilmDramaWinnerWork, Three Billboards Outside Ebbing, Missouri]
-
A.
bestActressMotionPictureDramaWork
chosen
Indicates that a work is associated with winning or being awarded the Best Actress in a Motion Picture – Drama honor.
-
B.
bestActressWinnerWork
Indicates the work (such as a film or performance) for which a person received a Best Actress award.
-
C.
bestActressMotionPictureMusicalOrComedyWork
Indicates that a work received the Golden Globe award for Best Actress in a Motion Picture – Musical or Comedy.
-
D.
bestActressWinner
Indicates that the subject has won the Best Actress award in a given competition or context.
-
E.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:09 a.m.