Triple

T6168732
Position Surface form Disambiguated ID Type / Status
Subject Leif Erickson E137637 entity
Predicate spouse P13 FINISHED
Object Margaret Hayes E514843 NE 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: Margaret Hayes | Statement: [Leif Erickson, spouse, Margaret Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Hayes
Context triple: [Leif Erickson, spouse, Margaret Hayes]
  • A. Margaret Hayes chosen
    Margaret Hayes was an American film and television actress active in the mid-20th century, known for her supporting roles in dramas and crime films.
  • B. Margaret Hogan
    Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
  • C. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • D. Marjorie Marshall
    Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
  • E. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d8de56481909583104c70a52616 completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3cbf914819086c9553904aee0e5 completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:18 p.m.