Triple

T15711949
Position Surface form Disambiguated ID Type / Status
Subject Blue Ruin E380859 entity
Predicate productionCompany P490 FINISHED
Object Filmscience E115986 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: Filmscience | Statement: [Blue Ruin, productionCompany, Filmscience]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filmscience
Context triple: [Blue Ruin, productionCompany, Filmscience]
  • A. Filmscience chosen
    Filmscience is an independent film production company known for backing distinctive, often genre-bending projects such as the thriller "Green Room."
  • B. Cinema
    "Cinema" is a popular electronic dance track by Italian DJ and producer Benny Benassi, widely recognized for its catchy melody and influential role in early 2010s EDM.
  • C. Cinema
    Cinema is a short-lived 1980s progressive rock band formed by former Yes members, best known as the precursor project that evolved into the re-formed Yes lineup featuring Trevor Rabin.
  • D. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • E. Connaissance du Cinéma
    Connaissance du Cinéma is a French film production company known for backing distinctive, auteur-driven cinema such as the darkly comic fantasy "Delicatessen."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.