Triple
T21200604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Academy Awards |
E522443
|
entity |
| Predicate | bestPictureCategoryNameAtTime |
P28066
|
FINISHED |
| Object | Outstanding Picture |
—
|
LITERAL FINISHED |
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: Outstanding Picture | Statement: [2nd Academy Awards, bestPictureCategoryNameAtTime, Outstanding Picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestPictureCategoryNameAtTime Context triple: [2nd Academy Awards, bestPictureCategoryNameAtTime, Outstanding Picture]
-
A.
bestPictureInitiallyAnnouncedAs
Indicates that an award for Best Picture was first (and possibly mistakenly) announced as going to a particular film or recipient.
-
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.
isOscarCategory
chosen
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
E.
bestPictureWinOver
Indicates that one film won the Best Picture award in preference to or instead of another film.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73430c5a08190aeb6a62eec0f43a3 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:18 p.m.