Triple
T3422348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutiny on the Bounty (1935 film) |
E72141
|
entity |
| Predicate | AcademyAwardsYear |
P48623
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Mutiny on the Bounty (1935 film), AcademyAwardsYear, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AcademyAwardsYear Context triple: [Mutiny on the Bounty (1935 film), AcademyAwardsYear, 1936]
-
A.
goldenGlobeYear
Indicates the specific year in which a Golden Globe award or nomination associated with an entity took place.
-
B.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
E.
academyAwardsEdition
Indicates the specific edition or installment of the Academy Awards associated with an entity.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.