Triple

T3753573
Position Surface form Disambiguated ID Type / Status
Subject The Promise (2016 film) E81990 entity
Predicate distributor P1951 FINISHED
Object Open Road Films E46741 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: Open Road Films | Statement: [The Promise (2016 film), distributor, Open Road Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Open Road Films
Context triple: [The Promise (2016 film), distributor, Open Road Films]
  • A. Open Road Films chosen
    Open Road Films is an American independent film distribution company known for releasing a range of mid-budget and specialty films in theaters.
  • B. Roadside Attractions
    Roadside Attractions is an American independent film distribution company known for releasing specialty and arthouse films to theatrical audiences.
  • C. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • D. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • E. Parklane Pictures
    Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5044f3c8190969828966b37e729 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.