Triple
T34210884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for "Beau Geste" |
E877650
|
entity |
| Predicate | isWin |
P178530
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Academy Award for Best Supporting Actor for "Beau Geste", isWin, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWin Context triple: [Academy Award for Best Supporting Actor for "Beau Geste", isWin, false]
-
A.
classWins
Indicates that a particular class has achieved victory or success in a competitive context.
-
B.
winsFor
Indicates that one entity achieves victory or success on behalf of, or in favor of, another entity.
-
C.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
D.
winsDefinition
Indicates that one entity achieves victory or success over another in a contest, competition, or conflict.
-
E.
isClassicWinner
Indicates that an entity has won a classic or traditionally recognized competition, award, or title.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.