Triple

T17740886
Position Surface form Disambiguated ID Type / Status
Subject Chester M. Franklin E442852 entity
Predicate employer P7 FINISHED
Object Metro 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: Metro Pictures | Statement: [Chester M. Franklin, employer, Metro Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Pictures
Context triple: [Chester M. Franklin, employer, Metro Pictures]
  • A. Metro Pictures chosen
    Metro Pictures was an early 20th-century American film production and distribution company that later merged into Metro-Goldwyn-Mayer (MGM), helping form one of Hollywood’s major studios.
  • B. Dimension Pictures
    Dimension Pictures was an American independent film production and distribution company known for releasing low-budget exploitation and genre films in the 1970s.
  • C. Apollo Pictures
    Apollo Pictures is a film production company best known for producing the 1987 teen romantic comedy "Can't Buy Me Love."
  • D. Mainstreet Pictures
    Mainstreet Pictures is a British television production company best known for creating acclaimed drama series such as "Unforgotten."
  • E. Roxbury Pictures
    Roxbury Pictures is a film production company known for producing the movie "Enemy."
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acc2610819099451b02bb51891f completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.