Triple

T20711297
Position Surface form Disambiguated ID Type / Status
Subject Allen Heim E509048 entity
Predicate notableWork P4 FINISHED
Object The Other 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 Other Man | Statement: [Allen Heim, notableWork, The Other Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Other Man
Context triple: [Allen Heim, notableWork, The Other Man]
  • A. The Other Man chosen
    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.
  • 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 Man at Six
    The Man at Six is a British mystery play, best known as a stage thriller by actor-playwright Frank Vosper.
  • D. Unjust Man
    Unjust Man is a character in Aristophanes’ comedy "Plutus," representing the corrupt and immoral individual who benefits from wealth without merit.
  • E. The Outside Man
    The Outside Man is a 1972 French-Italian-American crime thriller film directed by Jacques Deray and starring Jean-Louis Trintignant and Ann-Margret.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1cdcaac8190b9ba82d489fb3bfc completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.