Triple
T7773109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaVona Golden |
E179120
|
entity |
| Predicate | familyRelationInWork |
P45554
|
FINISHED |
| Object | ex-wife of Tonya Harding’s father (in the film) |
—
|
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: ex-wife of Tonya Harding’s father (in the film) | Statement: [LaVona Golden, familyRelationInWork, ex-wife of Tonya Harding’s father (in the film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyRelationInWork Context triple: [LaVona Golden, familyRelationInWork, ex-wife of Tonya Harding’s father (in the film)]
-
A.
hasFamilyRelationInWork
chosen
Indicates that there exists a family relationship between two entities within the context of a specific work (e.g., book, film, or other creative work).
-
B.
knownRelativesOccupation
Indicates that there is information about the occupations held by one or more relatives of a given person.
-
C.
employerRelationship
Indicates a relationship in which one entity acts as the employer of another, having authority to hire, direct, and compensate the other party for work performed.
-
D.
siblingOccupation
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
E.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7046048688190a6cbc64e82b58eca |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.