Triple

T16486413
Position Surface form Disambiguated ID Type / Status
Subject Michael Blodgett E400453 entity
Predicate notableWork P4 FINISHED
Object There Was a Crooked Man... E823725 NE FINISHED

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: There Was a Crooked Man... | Statement: [Michael Blodgett, notableWork, There Was a Crooked Man...]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: There Was a Crooked Man...
Context triple: [Michael Blodgett, notableWork, There Was a Crooked Man...]
  • A. There Was a Crooked Man... chosen
    "There Was a Crooked Man..." is a 1970 Western black comedy film co-written by David Newman that subverts traditional genre tropes through its darkly humorous take on crime and morality in the Old West.
  • B. There Was a Crooked Man
    "There Was a Crooked Man" is a British comedy film featuring Norman Wisdom in one of his characteristic comic roles.
  • C. The Murder Men
    The Murder Men is a crime drama film featuring Peter Mark Richman in a prominent role.
  • D. Day of the Badman
    Day of the Badman is a 1958 American Western film starring Fred MacMurray as a principled judge facing down outlaws to uphold justice in a frontier town.
  • E. The Crooked Man
    The Crooked Man is a film featuring Irish actor Liam Cunningham, likely a thriller or horror project in which he plays a prominent role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e068fac8190a0971f548848fcfe completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582275308190a0fb3944d74916cf completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.