Triple

T28085811
Position Surface form Disambiguated ID Type / Status
Subject Billie Jean Jones E709817 entity
Predicate legalStatusOfMarriageToHankWilliams P81807 FINISHED
Object contested in later legal proceedings 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: contested in later legal proceedings | Statement: [Billie Jean Jones, legalStatusOfMarriageToHankWilliams, contested in later legal proceedings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfMarriageToHankWilliams
Context triple: [Billie Jean Jones, legalStatusOfMarriageToHankWilliams, contested in later legal proceedings]
  • A. legalStatusOfMarriageToJohn
    Indicates the legal status or validity of a person’s marriage in relation to John.
  • B. marriageStatusWithLonChaney
    Indicates the marital relationship status that an entity has (or had) with Lon Chaney.
  • C. marriageLegalStatus chosen
    Indicates the legal status of a marriage relationship between entities, such as whether it is valid, invalid, pending, or dissolved under applicable law.
  • D. hasMarriage
    Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
  • E. marriageStatusWithMaryPickford
    Indicates the marital relationship status that an entity has or had with Mary Pickford.
  • 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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: April 27, 2026, 8:55 p.m.