Triple

T7354101
Position Surface form Disambiguated ID Type / Status
Subject The Marrying Kind E169578 entity
Predicate castMember P1668 FINISHED
Object Ruth Gordon E37820 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: Ruth Gordon | Statement: [The Marrying Kind, castMember, Ruth Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Gordon
Context triple: [The Marrying Kind, castMember, Ruth Gordon]
  • A. Ruth Gordon chosen
    Ruth Gordon was an American actress and screenwriter renowned for her late-career film roles, particularly in "Rosemary's Baby" and "Harold and Maude."
  • B. Polly Bergen
    Polly Bergen was an American actress and singer known for her work in film, television, and theater, including a prominent role in the 1962 thriller "Cape Fear."
  • C. Carol Channing
    Carol Channing was a Tony Award–winning American actress and singer best known for originating the role of Dolly Levi in the Broadway musical "Hello, Dolly!"
  • D. Linda Harrison
    Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
  • E. Joan Blondell
    Joan Blondell was a popular American film and stage actress of the 1930s and 1940s, known for her wisecracking, warm-hearted characters in numerous Warner Bros. 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91f49faec8190b4920097d52896f3 completed March 29, 2026, 12:47 p.m.
Created at: March 27, 2026, 3:05 p.m.