Triple

T18810096
Position Surface form Disambiguated ID Type / Status
Subject Harold Huber E459986 entity
Predicate notableWork P4 FINISHED
Object The Man Who Dared 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 Man Who Dared | Statement: [Harold Huber, notableWork, The Man Who Dared]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Man Who Dared
Context triple: [Harold Huber, notableWork, The Man Who Dared]
  • A. The Man Who Dared chosen
    The Man Who Dared is a 1946 American crime drama film featuring actress Tala Birell in a prominent role.
  • B. The Man Who Won
    The Man Who Won is a 1923 American silent Western film directed by Irving Cummings and produced by Irving Willat.
  • C. The Man Who Wouldn't Die
    The Man Who Wouldn't Die is a 1994 made-for-TV mystery film starring Nancy Allen as a woman entangled in a deadly plot involving identity, deception, and an apparently indestructible man.
  • D. The Man Who Came Back
    The Man Who Came Back is a 1924 American silent drama film, based on a popular stage play, about a disgraced man’s struggle for redemption.
  • E. The Daring Young Man
    "The Daring Young Man" is a 1942 American film featuring Mexican-born actress Blanca Rosa Welter, better known as Lupe Vélez, in one of her notable screen roles.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3db38ec8190ab5bef15bc6789be completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.