Triple

T2297774
Position Surface form Disambiguated ID Type / Status
Subject Mike Nichols E51656 entity
Predicate pseudonym P39 FINISHED
Object Mike Nichols E51656 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: Mike Nichols | Statement: [Mike Nichols, pseudonym, Mike Nichols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Nichols
Context triple: [Mike Nichols, pseudonym, Mike Nichols]
  • A. Mike Nichols chosen
    Mike Nichols was an acclaimed American film and theater director known for influential works like "The Graduate" and his sharp, character-driven storytelling that helped define a generation of cinema.
  • B. Sydney Pollack
    Sydney Pollack was an American film director, producer, and actor known for acclaimed movies such as "Out of Africa," "Tootsie," and "The Firm."
  • C. 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."
  • 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. Michael Greif
    Michael Greif is an American theatre director best known for staging acclaimed Broadway musicals such as Rent, Next to Normal, and Dear Evan Hansen.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5df37808190ba6a43dc1e9e723a completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8954a804819092c716582f23af14 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.