Triple

T6162091
Position Surface form Disambiguated ID Type / Status
Subject Get Smart E137465 entity
Predicate director P255 FINISHED
Object Peter Segal E335261 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: Peter Segal | Statement: [Get Smart, director, Peter Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Segal
Context triple: [Get Smart, director, Peter Segal]
  • A. Peter Segal chosen
    Peter Segal is an American film director known for mainstream comedies such as "Tommy Boy," "50 First Dates," and "Get Smart."
  • B. Brett Ratner
    Brett Ratner is an American film director and producer best known for commercial hits like the Rush Hour series and X-Men: The Last Stand.
  • C. Shawn Levy
    Shawn Levy is a Canadian film director, producer, and actor best known for helming mainstream comedies and adventure films such as the "Night at the Museum" series and for producing hit television shows like "Stranger Things."
  • D. Barry Sonnenfeld
    Barry Sonnenfeld is an American filmmaker and cinematographer best known for directing the Men in Black trilogy and The Addams Family films.
  • E. David W. Zucker
    David W. Zucker is a television producer known for overseeing high-profile, prestige drama series, including the adaptation of Philip K. Dick’s "The Man in the High Castle."
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14199f024819089af02b1c0eebfad completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.