Triple

T8864225
Position Surface form Disambiguated ID Type / Status
Subject Enid Bennett E210971 entity
Predicate employer P7 FINISHED
Object Triangle Film Corporation E276582 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: Triangle Film Corporation | Statement: [Enid Bennett, employer, Triangle Film Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Triangle Film Corporation
Context triple: [Enid Bennett, employer, Triangle Film Corporation]
  • A. Triangle Film Corporation chosen
    Triangle Film Corporation was an early 20th-century American motion picture studio known for producing silent films during the 1910s.
  • B. World Film Company
    World Film Company was an early 20th-century American motion picture distribution and production company active during the silent film era.
  • C. Aurora Film Corporation
    Aurora Film Corporation is an Indian film distribution and production company known for handling notable Bengali and Indian cinema releases.
  • D. 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.
  • E. Argosy Pictures
    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.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610416b48190a26f0c457089ffca completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0caccd88190b6464f53d0239e47 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.