Triple

T22887992
Position Surface form Disambiguated ID Type / Status
Subject Michael Andrew McKagan E567656 entity
Predicate spouse P13 FINISHED
Object Susan Holmes McKagan NE NERFINISHED

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: Susan Holmes McKagan | Statement: [Michael Andrew McKagan, spouse, Susan Holmes McKagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Holmes McKagan
Context triple: [Michael Andrew McKagan, spouse, Susan Holmes McKagan]
  • A. Susan Holmes McKagan chosen
    Susan Holmes McKagan is an American fashion model and designer known for her work with major brands and magazines and for her marriage to Guns N’ Roses bassist Duff McKagan.
  • B. Lisa Marie Stetler
    Lisa Marie Stetler is a film producer known for her work on the animated feature "Ferdinand."
  • C. Lisa Marie Kurbikoff
    Lisa Marie Kurbikoff is an American photographer and occasional actress known for her work in film and celebrity portraiture.
  • D. Chrissy Hagerty
    Chrissy Hagerty is the wife of U.S. politician and diplomat Bill Hagerty, known for her role as a political spouse and public figure in Tennessee.
  • E. Chrissy Cunningham
    Chrissy Cunningham is a popular cheerleader and troubled student at Hawkins High School in the horror–sci-fi series "Stranger Things."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc2adb4819081bce7e6849ba31a completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.