Triple

T22975660
Position Surface form Disambiguated ID Type / Status
Subject Fargo (1996 film) E571308 entity
Predicate producedBy P490 FINISHED
Object Working Title Films 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: Working Title Films | Statement: [Fargo (1996 film), producedBy, Working Title Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Working Title Films
Context triple: [Fargo (1996 film), producedBy, Working Title Films]
  • A. Working Title Films chosen
    Working Title Films is a major British film production company known for popular romantic comedies and internationally successful films such as Four Weddings and a Funeral, Notting Hill, and Love Actually.
  • B. Progress Films
    Progress Films was a British silent-era film production company active in the early 20th century.
  • C. Working Title Television
    Working Title Television is a British television production company known for creating high-profile scripted series such as historical dramas and literary adaptations.
  • D. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • E. Alive Films
    Alive Films was an independent American film production company known for backing distinctive genre and auteur-driven movies in the 1980s and early 1990s.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.