Triple

T21095666
Position Surface form Disambiguated ID Type / Status
Subject Mindy McConnell E519759 entity
Predicate creator P184 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: [Mindy McConnell, creator, Garry Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garry Marshall
Context triple: [Mindy McConnell, creator, 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. 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.
  • C. Chris Curtis
    Chris Curtis was the drummer and a key member of the 1960s British Merseybeat band The Searchers, contributing to their distinctive sound during their peak years.
  • D. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • E. Dennis Gassner
    Dennis Gassner is an acclaimed American production designer and art director known for his visually distinctive work on films such as "Blade Runner 2049," "Skyfall," and "O Brother, Where Art Thou?".
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.