Triple

T13995174
Position Surface form Disambiguated ID Type / Status
Subject Una Healy E336675 entity
Predicate auntOccupation P112082 FINISHED
Object athlete 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: athlete | Statement: [Una Healy, auntOccupation, athlete]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: auntOccupation
Context triple: [Una Healy, auntOccupation, athlete]
  • A. auntOf
    Indicates that one person is the aunt of another, typically as the sibling (or sibling-in-law) of a parent or sometimes an older female relative in an extended family role.
  • B. hasAunt
    Indicates that one entity is the aunt of another, typically meaning a sister (or sister-in-law) of a parent of that entity.
  • C. maternalGrandmotherOccupation
    Indicates the type of job or profession held by a person’s maternal grandmother.
  • D. auntAndFosterMother
    Indicates that one person is both the aunt of another person and also serves as that person’s foster mother.
  • E. greatAunt
    Indicates that one person is the sister of another person’s grandparent.
  • F. None of above. chosen

Provenance (4 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb53f508190855cd69b8061dd77 completed April 14, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69dd465dfbc4819090d8c61fd572d35f completed April 13, 2026, 7:39 p.m.
PDg Predicate description generation batch_69de01ed2098819088ec45069f6f2609 completed April 14, 2026, 8:59 a.m.
Created at: April 9, 2026, 10:19 p.m.