Triple

T4394147
Position Surface form Disambiguated ID Type / Status
Subject Arthur Miller E99441 entity
Predicate spouseOf P13 FINISHED
Object Mary Grace Slattery E99441 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: Mary Grace Slattery | Statement: [Arthur Miller, spouseOf, Mary Grace Slattery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Grace Slattery
Context triple: [Arthur Miller, spouseOf, Mary Grace Slattery]
  • A. Mary Grace Slattery chosen
    Mary Grace Slattery was the first wife of American playwright Arthur Miller, whom he married before achieving his major theatrical success.
  • B. Kathleen Glynn
    Kathleen Glynn is an American film producer and television creator best known for her long-time professional and personal collaboration with documentary filmmaker Michael Moore.
  • C. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • D. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • E. Mary Catlett
    Mary Catlett was the wife of English Anglican clergyman and hymn writer John Newton, known for her supportive role in his life and ministry.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a9c8b88190a7894a40be4996f0 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b89011a88190b498264ff99e7984 completed March 28, 2026, 11:16 a.m.
Created at: March 12, 2026, 11:20 p.m.