Triple
T33798976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Guyana pageant |
E866157
|
entity |
| Predicate | winnerReceivesTitle |
P31248
|
FINISHED |
| Object | Miss Guyana |
—
|
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: Miss Guyana | Statement: [Miss Guyana pageant, winnerReceivesTitle, Miss Guyana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerReceivesTitle Context triple: [Miss Guyana pageant, winnerReceivesTitle, Miss Guyana]
-
A.
winnerTitle
chosen
Indicates the formal title or designation awarded to the entity that wins a particular competition, contest, or event.
-
B.
winnerReceives
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
-
C.
winnerTitleRecord
Indicates that a record documents the title or achievement associated with an entity that has won a particular contest, award, or competition.
-
D.
firstTitleForWinner
Indicates that the associated title is the first title ever won by the specified winner.
-
E.
wonTitleWith
Indicates that an entity secured a specific title, award, or championship while being associated with or representing another entity (such as a team, organization, or group).
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:46 a.m.