Triple

T2429469
Position Surface form Disambiguated ID Type / Status
Subject Some Like It Hot E52807 entity
Predicate castMember P1668 FINISHED
Object Joe E. Brown E147461 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: Joe E. Brown | Statement: [Some Like It Hot, castMember, Joe E. Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe E. Brown
Context triple: [Some Like It Hot, castMember, Joe E. Brown]
  • A. Joe E. Brown chosen
    Joe E. Brown was a popular American comedian and film actor of the 1930s and 1940s, known for his wide-mouthed grin and roles in numerous Hollywood comedies.
  • B. Bud Cort
    Bud Cort is an American actor and director best known for his iconic role as the young Harold in the cult classic film "Harold and Maude."
  • C. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • D. Donald Crisp
    Donald Crisp was a British-born American film actor and director best known for his prolific career in early Hollywood cinema, including roles in numerous silent and sound films.
  • E. Andy Devine
    Andy Devine was an American character actor best known for his distinctive raspy voice and roles in numerous Western films and the television series "The Adventures of Wild Bill Hickok."
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99e1b548190aca9a0ba72a9b0f7 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a5fc208190a2479de4b1344759 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.