Triple
T37373638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5th Academy Awards |
E927911
|
entity |
| Predicate | bestWritingAdaptationWinner |
P10677
|
FINISHED |
| Object | The Champ (1931 film) |
—
|
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 Champ (1931 film) | Statement: [5th Academy Awards, bestWritingAdaptationWinner, The Champ (1931 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestWritingAdaptationWinner Context triple: [5th Academy Awards, bestWritingAdaptationWinner, The Champ (1931 film)]
-
A.
bestAdaptedScreenplayWinner
chosen
Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
-
B.
bestWritingMotionPictureStoryWinnerFilm
Indicates that the subject film is the winner of the Best Writing (Motion Picture Story) award.
-
C.
bestStoryAndScreenplayMusicalOrComedyWinner
Indicates that the subject is the winner of the award for best story and screenplay in the musical or comedy category.
-
D.
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.
-
E.
bestWritingScreenplayWinner
Indicates that the subject is the entity that won the award for best writing (screenplay) for the associated work or 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.