Triple

T5342832
Position Surface form Disambiguated ID Type / Status
Subject Margin Call E123982 entity
Predicate distributor P1951 FINISHED
Object Roadside Attractions E90121 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: Roadside Attractions | Statement: [Margin Call, distributor, Roadside Attractions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roadside Attractions
Context triple: [Margin Call, distributor, 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. River Road Entertainment
    River Road Entertainment is an American film production company known for financing and producing acclaimed independent and prestige films.
  • D. 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.
  • E. Main Street Films
    Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18cc387c8190a9fe430fe5bb38ce completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2:01 p.m.