Triple

T6129586
Position Surface form Disambiguated ID Type / Status
Subject Eric Fellner E136678 entity
Predicate employer P7 FINISHED
Object Working Title Films E48030 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: Working Title Films | Statement: [Eric Fellner, employer, Working Title Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Working Title Films
Context triple: [Eric Fellner, employer, 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. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • C. Transmission Films
    Transmission Films is an Australian film distribution and production company known for releasing acclaimed independent and international films.
  • D. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • E. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4c8570819096dc87f0de2a9887 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135cabf808190bbc3ba70eb04126f completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.