Triple
T33799038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Guyana (1967) |
E866159
|
entity |
| Predicate | titleholder |
P34139
|
FINISHED |
| Object | Shakira Caine |
—
|
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: Shakira Caine | Statement: [Miss Guyana (1967), titleholder, Shakira Caine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleholder Context triple: [Miss Guyana (1967), titleholder, Shakira Caine]
-
A.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
B.
titleHolderName
chosen
Indicates the name of the person or entity that holds a particular title or position.
-
C.
titleHolderWas
Indicates that an entity previously held a specific title or position before it passed to someone or something else.
-
D.
titleHolderCouldBe
Indicates that a particular entity is a possible or potential holder of a specified title or position.
-
E.
titleHolderSee
Indicates that one who holds a title or position observes, meets, or has an in-person encounter with another entity.
- 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_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1:46 a.m.