Triple

T18709785
Position Surface form Disambiguated ID Type / Status
Subject Ralph E457472 entity
Predicate protagonistOf P9202 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: [Ralph, protagonistOf, The Other Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Other Man
Context triple: [Ralph, protagonistOf, 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. 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.
  • E. The Hard Man
    The Hard Man is a 1957 American Western film starring Guy Madison as a tough lawman caught in a deadly conflict with a powerful rancher.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671a3c8c81909466bf5d81477a37 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.