Triple

T20844481
Position Surface form Disambiguated ID Type / Status
Subject Colleen Moore E513183 entity
Predicate workedFor P1910 FINISHED
Object First National Pictures 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: First National Pictures | Statement: [Colleen Moore, workedFor, First National Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First National Pictures
Context triple: [Colleen Moore, workedFor, First National Pictures]
  • A. First National Pictures chosen
    First National Pictures was a major American motion picture production and distribution company active during the silent and early sound film eras.
  • B. Academy Pictures
    Academy Pictures is a film production company best known for producing the 1973 British horror film "The Legend of Hell House."
  • C. Anglo-American Film Corporation
    Anglo-American Film Corporation was a mid-20th-century film distribution company involved in releasing British and other international films to wider audiences.
  • D. The American Film Company
    The American Film Company is a U.S.-based film production company known for creating historically themed movies grounded in American history.
  • E. Monarch Pictures
    Monarch Pictures is a film production company known for producing feature films such as the thriller "Copycat."
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34deef88190992b959b83bc59b1 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.