Triple

T13343993
Position Surface form Disambiguated ID Type / Status
Subject Baruch Lumet E317900 entity
Predicate name P16 FINISHED
Object Baruch Lumet E317900 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: Baruch Lumet | Statement: [Baruch Lumet, name, Baruch Lumet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baruch Lumet
Context triple: [Baruch Lumet, name, Baruch Lumet]
  • A. Baruch Lumet chosen
    Baruch Lumet was a Polish-born American actor and acting teacher known for his work in Yiddish theater and for being the father of film director Sidney Lumet.
  • B. Sidney Lumet
    Sidney Lumet was an acclaimed American film director known for socially conscious, character-driven dramas such as "12 Angry Men," "Serpico," and "Dog Day Afternoon."
  • C. John Frankenheimer
    John Frankenheimer was an American film and television director best known for his tense political and action thrillers such as "The Manchurian Candidate" and "Ronin."
  • D. Alan J. Pakula
    Alan J. Pakula was an American film director, producer, and screenwriter best known for his politically charged thrillers and character-driven dramas of the 1970s and 1980s.
  • E. Tim Zinnemann
    Tim Zinnemann is an American film producer and assistant director, known for his work on movies such as "The Running Man" and "Clear and Present Danger."
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.