Triple
T36965665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss World USA 1972 |
E914420
|
entity |
| Predicate | winnerLaterNotableRole |
P191403
|
FINISHED |
| Object | Wonder Woman |
—
|
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: Wonder Woman | Statement: [Miss World USA 1972, winnerLaterNotableRole, Wonder Woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerLaterNotableRole Context triple: [Miss World USA 1972, winnerLaterNotableRole, Wonder Woman]
-
A.
winnerRole
Indicates the role or position held by the entity that is the winner in a given event or competition.
-
B.
notableArcRole
Indicates that one entity holds a particularly important or prominent role within a narrative arc or storyline in relation to another entity.
-
C.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
D.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
E.
winnerCharacterDescription
Indicates that the predicate provides a textual description of the character who is the winner in a given context or event.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:14 p.m.