Triple

T10284933
Position Surface form Disambiguated ID Type / Status
Subject Sorry, Wrong Number E241202 entity
Predicate castMember P1668 FINISHED
Object Ann Richards E852647 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: Ann Richards | Statement: [Sorry, Wrong Number, castMember, Ann Richards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Richards
Context triple: [Sorry, Wrong Number, castMember, Ann Richards]
  • A. Ann Richards
    Ann Richards was an American politician and Democrat who served as the 45th governor of Texas from 1991 to 1995 and became known for her sharp wit and advocacy for women and minorities.
  • B. Ann Richards chosen
    Ann Richards was an Australian actress known for her work in Hollywood films during the 1940s and later in television and stage productions.
  • C. Lauro Cavazos
    Lauro Cavazos was the first Hispanic U.S. Secretary of Education, serving under Presidents Ronald Reagan and George H. W. Bush.
  • D. Anna Eleanor Dall
    Anna Eleanor Dall was the granddaughter of U.S. President Franklin D. Roosevelt and First Lady Eleanor Roosevelt, known primarily as a member of the prominent Roosevelt family.
  • E. Michele Hicks
    Michele Hicks is an American actress and former fashion model known for her roles in television series such as "The Shield" and various independent films.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d0b40d081908eb3f7ba24352a42 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:40 a.m.