Triple

T12170598
Position Surface form Disambiguated ID Type / Status
Subject Mike Wallace E289951 entity
Predicate spouse P13 FINISHED
Object Mary Yates E289951 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 Yates | Statement: [Mike Wallace, spouse, Mary Yates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Yates
Context triple: [Mike Wallace, spouse, Mary Yates]
  • A. Mary Yates chosen
    Mary Yates is best known as the wife of prominent American journalist and longtime 60 Minutes correspondent Mike Wallace.
  • B. Janet McKenzie Hill
    Janet McKenzie Hill was an influential American cookbook author and early 20th-century culinary educator known for popularizing scientific home cooking and baking.
  • C. Barbara Carr
    Barbara Carr is a music industry executive and longtime manager of Bruce Springsteen who co-produced his acclaimed stage production "Springsteen on Broadway."
  • D. Ruth Cunningham
    Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
  • E. Gail Stevens
    Gail Stevens is a British casting director known for her work on numerous acclaimed film and television productions.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:50 p.m.