Triple

T19504627
Position Surface form Disambiguated ID Type / Status
Subject The Conspirator E487987 entity
Predicate distributedBy P1951 FINISHED
Object Roadside Attractions 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: Roadside Attractions | Statement: [The Conspirator, distributedBy, Roadside Attractions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roadside Attractions
Context triple: [The Conspirator, distributedBy, Roadside Attractions]
  • A. Roadside Attractions chosen
    Roadside Attractions is an American independent film distribution company known for releasing specialty and arthouse films to theatrical audiences.
  • B. Open Road Films
    Open Road Films is an American independent film distribution company known for releasing a range of mid-budget and specialty films in theaters.
  • C. Arcola Pictures
    Arcola Pictures is a film production company best known for producing the 1967 crime drama "Tony Rome" starring Frank Sinatra.
  • D. River Road Entertainment
    River Road Entertainment is an American film production company known for financing and producing acclaimed independent and prestige films.
  • E. 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.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635105db8819084915dc2d047188d completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.