Triple

T12033334
Position Surface form Disambiguated ID Type / Status
Subject Connie Mack E286466 entity
Predicate spouse P13 FINISHED
Object Margaret Hogan E286466 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 Hogan | Statement: [Connie Mack, spouse, Margaret Hogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Hogan
Context triple: [Connie Mack, spouse, Margaret Hogan]
  • A. Margaret Hogan chosen
    Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
  • B. Margaret Hayes
    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.
  • C. Margaret O'Leary
    Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
  • D. Margaret McGrath
    Margaret McGrath was an American philanthropist and the first wife of U.S. Vice President Nelson A. Rockefeller.
  • E. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040724ec8190808f334013ddc6d6 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:47 p.m.