Triple
T7047598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paige Butcher |
E163679
|
entity |
| Predicate | publicFigureCategory |
P26555
|
FINISHED |
| Object | celebrity partner |
—
|
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: celebrity partner | Statement: [Paige Butcher, publicFigureCategory, celebrity partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicFigureCategory Context triple: [Paige Butcher, publicFigureCategory, celebrity partner]
-
A.
publicFigure
chosen
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
B.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
-
C.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
D.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
E.
isCategoryOfPeople
Indicates that a group or classification specifically pertains to people as its members.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.