Triple
T24596959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for Viva Zapata! |
E608702
|
entity |
| Predicate | winningWork |
P73784
|
FINISHED |
| Object | Viva Zapata! |
—
|
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: Viva Zapata! | Statement: [Academy Award for Best Supporting Actor for Viva Zapata!, winningWork, Viva Zapata!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningWork Context triple: [Academy Award for Best Supporting Actor for Viva Zapata!, winningWork, Viva Zapata!]
-
A.
winnerWork
chosen
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
-
B.
wonWork
Indicates that one party has successfully secured or been awarded a particular job, contract, or work opportunity over others.
-
C.
winnerMake
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
D.
coWinnerWith
Indicates that two or more entities share a victory or award together as joint winners in the same event or competition.
-
E.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.