Triple

T20183842
Position Surface form Disambiguated ID Type / Status
Subject Abraham Benrubi E492801 entity
Predicate notableWork P4 FINISHED
Object The Minus Man 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: The Minus Man | Statement: [Abraham Benrubi, notableWork, The Minus Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Minus Man
Context triple: [Abraham Benrubi, notableWork, The Minus Man]
  • A. The Minus Man chosen
    The Minus Man is a 1999 psychological thriller film about a seemingly mild-mannered drifter who is secretly a serial killer, noted for its understated, unsettling tone.
  • B. The Man Beneath
    The Man Beneath is a 1919 silent drama film starring Japanese actor Sessue Hayakawa, showcasing his early Hollywood leading-man career.
  • C. The Other Man
    The Other Man is a 2008 psychological thriller film about a husband who becomes obsessed with uncovering the truth about his wife's secret lover.
  • D. The Cool Man
    The Cool Man is a crime novel by American writer W. R. Burnett, known for his hardboiled storytelling and influential contributions to the noir genre.
  • E. The Meanest Man in the World
    The Meanest Man in the World is a 1943 American comedy film starring Jack Benny as a mild-mannered lawyer who pretends to be ruthless to advance his career, leading to a series of humorous complications.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.