Triple
T34784543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culturama Queen Pageant |
E1002767
|
entity |
| Predicate | roleOfWinner |
P139936
|
FINISHED |
| Object | cultural ambassador for Nevis |
—
|
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: cultural ambassador for Nevis | Statement: [Culturama Queen Pageant, roleOfWinner, cultural ambassador for Nevis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfWinner Context triple: [Culturama Queen Pageant, roleOfWinner, cultural ambassador for Nevis]
-
A.
winnerRole
chosen
Indicates the role or position held by the entity that is the winner in a given event or competition.
-
B.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
-
C.
doubleWinner
Indicates that the same entity has won the relevant award, contest, or recognition twice.
-
D.
winnerCharacter
Indicates that one entity is the character who wins or is victorious in a given event, contest, or situation involving another entity.
-
E.
mainWinner
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 3:59 p.m.