Triple
T34868182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3rd Academy Awards |
E1005071
|
entity |
| Predicate | bestWritingWinner |
P89578
|
FINISHED |
| Object | The Big House |
—
|
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 Big House | Statement: [3rd Academy Awards, bestWritingWinner, The Big House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestWritingWinner Context triple: [3rd Academy Awards, bestWritingWinner, The Big House]
-
A.
bestWritingOriginalStoryWinner
Indicates that the subject is the winner of an award or recognition for best writing of an original story.
-
B.
bestWritingScreenplayWinner
Indicates that the subject is the entity that won the award for best writing (screenplay) for the associated work or event.
-
C.
bestWritingMotionPictureStoryWinnerFilm
chosen
Indicates that the subject film is the winner of the Best Writing (Motion Picture Story) award.
-
D.
bestWritingCategoryName
Indicates the specific writing category that is considered the best or most appropriate for an entity.
-
E.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.