Triple
T23877988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 46th Academy Awards |
E600118
|
entity |
| Predicate | bestOriginalDramaticScoreNominee |
P154303
|
FINISHED |
| Object | The Exorcist |
—
|
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: The Exorcist | Statement: [46th Academy Awards, bestOriginalDramaticScoreNominee, The Exorcist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalDramaticScoreNominee Context triple: [46th Academy Awards, bestOriginalDramaticScoreNominee, The Exorcist]
-
A.
bestOriginalScreenplayWinner
Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
-
B.
bestScoringOfADramaticOrComedyPictureWinner
Indicates that the subject is the winner for best scoring of a dramatic or comedy motion picture.
-
C.
bestOriginalSongWinner
Indicates that the subject is the work (typically a song or film) that won the award for Best Original Song in a given context or ceremony.
-
D.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
-
E.
bestPictureNominee
Indicates that a film was officially nominated for the Best Picture award in a given awards event.
- F. None of above. chosen
Provenance (4 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc032c9c81909986ae6f672c1ad1 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:23 p.m.