Triple

T22222791
Position Surface form Disambiguated ID Type / Status
Subject Three Thousand Years of Longing E549254 entity
Predicate distributor P1951 FINISHED
Object Roadshow 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: Roadshow Films | Statement: [Three Thousand Years of Longing, distributor, Roadshow Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roadshow Films
Context triple: [Three Thousand Years of Longing, distributor, Roadshow Films]
  • A. Roadshow Film Distributors chosen
    Roadshow Film Distributors is an Australian film distribution company best known for releasing major local and international titles, including the original "Mad Max."
  • B. Empire Films
    Empire Films is a film production and distribution division operating under the broader media company Empire Entertainment.
  • C. Electric Pictures
    Electric Pictures is a film and television production company known for its work on the feature film "Hotel Mumbai."
  • D. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • 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 (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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b91f8d48190b828fcde59620ff5 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.