Triple

T14290024
Position Surface form Disambiguated ID Type / Status
Subject Mary Tyler Moore E354283 entity
Predicate hasPart P35 FINISHED
Object Mary Richards E527264 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 Richards | Statement: [Mary Tyler Moore, hasPart, Mary Richards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Richards
Context triple: [Mary Tyler Moore, hasPart, Mary Richards]
  • A. Mary Richards chosen
    Mary Richards is the independent, career-focused television news producer portrayed by Mary Tyler Moore on the influential 1970s sitcom "The Mary Tyler Moore Show."
  • B. Mary Richards
    Mary Richards was the wife of colonial governor Thomas Hinckley of Plymouth Colony in 17th-century New England.
  • C. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • D. Della Myers
    Della Myers is the suburban housewife protagonist of the thriller film "While She Was Out," who is forced into a violent struggle for survival after a routine errand turns deadly.
  • E. Karen Richards
    Karen Richards is a central character in the musical "Applause," serving as a young, idealistic writer whose relationship with aging star Margo Channing drives much of the show's dramatic tension.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff36455f788190a63507ecda42b04c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 1:11 a.m.