Triple

T23215444
Position Surface form Disambiguated ID Type / Status
Subject Barbara Marshall E580724 entity
Predicate spouse P13 FINISHED
Object Garry Marshall NE NERFINISHED

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: Garry Marshall | Statement: [Barbara Marshall, spouse, Garry Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garry Marshall
Context triple: [Barbara Marshall, spouse, Garry Marshall]
  • A. Garry Marshall chosen
    Garry Marshall was an American filmmaker, producer, and actor best known for creating and directing popular television sitcoms and romantic comedy films.
  • B. Garry Marshall Shider
    Garry Marshall Shider was an American guitarist, singer, and musical director best known for his work with George Clinton’s Parliament-Funkadelic collective and his influential role in the development of funk music.
  • C. Richard Kooris
    Richard Kooris is an American cinematographer best known for his work on genre films, including the cult horror sequel The Texas Chainsaw Massacre 2.
  • D. Caryn Zucker
    Caryn Zucker is the former wife of media executive Jeff Zucker, known primarily for her connection to his high-profile career in television and news.
  • E. Barry Hyman
    Barry Hyman is one of the children of American literary critic and professor Stanley Edgar Hyman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.