Triple

T26406044
Position Surface form Disambiguated ID Type / Status
Subject Lucy Young Kimball E663834 entity
Predicate spouse's ordinal number in office P131425 FINISHED
Object 22nd Vice President of the United States 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: 22nd Vice President of the United States | Statement: [Lucy Young Kimball, spouse's ordinal number in office, 22nd Vice President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouse's ordinal number in office
Context triple: [Lucy Young Kimball, spouse's ordinal number in office, 22nd Vice President of the United States]
  • A. spouseOrdinalNumberAsPresident
    Indicates the numerical order in which a person’s spouse served as president (e.g., first, second, third).
  • B. spouseOffice
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • C. spouseOfOfficeholderNumber chosen
    Indicates that one entity is the spouse of a specific officeholder identified by their ordinal number in holding a particular office.
  • D. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • E. ordinalInOffice
    Indicates the numerical order or rank of an individual’s term or tenure in a particular office or 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 26, 2026, 11:35 p.m.