Triple

T25354613
Position Surface form Disambiguated ID Type / Status
Subject Esperanza Baur E635784 entity
Predicate spouseOrderInJohnWayneMarriages P4764 FINISHED
Object second wife of John Wayne 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: second wife of John Wayne | Statement: [Esperanza Baur, spouseOrderInJohnWayneMarriages, second wife of John Wayne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOrderInJohnWayneMarriages
Context triple: [Esperanza Baur, spouseOrderInJohnWayneMarriages, second wife of John Wayne]
  • A. spouseOrder chosen
    Indicates the position or sequence of a person among multiple spouses in a marital relationship.
  • B. marriageOrderWithBillyBobThornton
    Indicates the chronological position in which an entity was married to Billy Bob Thornton relative to his other spouses.
  • C. spouseOrderRelativeToGeneRoddenberry
    Indicates the position or sequence of a person among Gene Roddenberry’s spouses (e.g., first spouse, second spouse, etc.).
  • D. motherSpouseOrder
    Indicates that the subject is the spouse of the object’s mother, with an ordering or ranking among multiple such spouses.
  • E. marriageOrderRelativeToOrsonWelles
    Indicates the position or sequence of a person’s marriage relative to Orson Welles’s own marriages (e.g., earlier, later, or same order).
  • 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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 21, 2026, 1:35 p.m.