Triple

T20329911
Position Surface form Disambiguated ID Type / Status
Subject Margaret McGrath E492447 entity
Predicate spouseOfPoliticalOfficeHolder P87045 FINISHED
Object Governor of New York 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: Governor of New York | Statement: [Margaret McGrath, spouseOfPoliticalOfficeHolder, Governor of New York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOfPoliticalOfficeHolder
Context triple: [Margaret McGrath, spouseOfPoliticalOfficeHolder, Governor of New York]
  • A. spouseOffice
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • B. spouseOfOfficeHolderJurisdiction
    Indicates that one person is the spouse of a public office holder, with the relationship specifically tied to the jurisdiction in which that office is held.
  • C. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • D. spouseOfOfficeholderNumber
    Indicates that one entity is the spouse of a specific officeholder identified by their ordinal number in holding a particular office.
  • E. spouseOfLeader chosen
    Indicates that one entity is the married partner (spouse) of another entity who holds a leadership position.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:22 a.m.