Triple

T7785907
Position Surface form Disambiguated ID Type / Status
Subject Rio Grande (1950 film) E187243 entity
Predicate productionCompany P490 FINISHED
Object Argosy Pictures E158888 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: Argosy Pictures | Statement: [Rio Grande (1950 film), productionCompany, Argosy Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argosy Pictures
Context triple: [Rio Grande (1950 film), productionCompany, Argosy Pictures]
  • A. Argosy Pictures chosen
    Argosy Pictures was an American film production company co-founded by filmmaker Merian C. Cooper, known for producing several notable mid-20th-century adventure and war films.
  • 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. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • D. Monumental Pictures
    Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • E. Palace Pictures
    Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf22d9b4819081b877c751204a22 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf604715081909eed614cbadb8db6 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:23 p.m.