Triple
T37355683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Next Iron Chef |
E927444
|
entity |
| Predicate | winnerBecomes |
P54785
|
FINISHED |
| Object | Iron Chef America chef |
—
|
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: Iron Chef America chef | Statement: [The Next Iron Chef, winnerBecomes, Iron Chef America chef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerBecomes Context triple: [The Next Iron Chef, winnerBecomes, Iron Chef America chef]
-
A.
winnerWith
Indicates that one entity is the winner in a context or event specifically in association or combination with another entity.
-
B.
winnerMake
chosen
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
C.
winnerAssociated
Indicates that there is a relevant connection or affiliation between a winner and another entity in the context of a particular event or competition.
-
D.
wonBy
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
E.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.