Triple
T9676911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21st Academy Awards |
E234175
|
entity |
| Predicate | bestShortSubjectOneReelWinnerFilm |
P68128
|
FINISHED |
| Object | Seal Island |
—
|
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: Seal Island | Statement: [21st Academy Awards, bestShortSubjectOneReelWinnerFilm, Seal Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestShortSubjectOneReelWinnerFilm Context triple: [21st Academy Awards, bestShortSubjectOneReelWinnerFilm, Seal Island]
-
A.
bestShortSubjectOneReelWinner
chosen
Indicates that the subject has won the award for best short subject in the one-reel category.
-
B.
bestLiveActionShortSubjectTwoReelWinner
Indicates that the subject is the winner of the Academy Award for Best Live Action Short Film in the two-reel category.
-
C.
bestDocumentaryShortSubjectWinner
Indicates that the subject has won the award for Best Documentary Short Subject.
-
D.
bestLiveActionShortFilmWinner
Indicates that the subject is the winner of the Best Live Action Short Film award in a given year or context.
-
E.
bestShortSubjectComedyWinner
Indicates that the subject is the winner of an award for best short-form comedy.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c99ee0481908ead5f7112117c90 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.