Triple

T20105421
Position Surface form Disambiguated ID Type / Status
Subject Ted de Corsia E490154 entity
Predicate notableWork P4 FINISHED
Object The Outside 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 Outside Man | Statement: [Ted de Corsia, notableWork, The Outside Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Outside Man
Context triple: [Ted de Corsia, notableWork, The Outside Man]
  • A. The Outside Man chosen
    The Outside Man is a 1972 French-Italian-American crime thriller film directed by Jacques Deray and starring Jean-Louis Trintignant and Ann-Margret.
  • B. 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.
  • C. Shadow Man
    "Shadow Man" is a song by Brazilian singer-songwriter Telefone, likely blending introspective lyrics with atmospheric, genre-bending production.
  • D. The Man Outside
    "The Man Outside" is a 1967 British crime drama film featuring Carole Ann Ford in its cast.
  • E. The Man Beneath
    The Man Beneath is a 1919 silent drama film starring Japanese actor Sessue Hayakawa, showcasing his early Hollywood leading-man career.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dbad30819082454f360f358131 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.