Triple

T23101511
Position Surface form Disambiguated ID Type / Status
Subject Death in Brunswick E576041 entity
Predicate distributor P1951 FINISHED
Object Roadshow Film Distributors 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 Film Distributors | Statement: [Death in Brunswick, distributor, Roadshow Film Distributors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roadshow Film Distributors
Context triple: [Death in Brunswick, distributor, Roadshow Film Distributors]
  • 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. Village Roadshow Pictures
    Village Roadshow Pictures is a major Australian-American film production company known for co-financing and producing numerous Hollywood blockbusters across various genres.
  • C. Equity Pictures
    Equity Pictures is a film production company known for financing and producing a range of international motion pictures.
  • D. Pathe Distribution
    Pathé Distribution is a French film distribution company known for releasing a wide range of European and international movies.
  • E. Varsity Pictures
    Varsity Pictures is a film and television production company known for creating youth-oriented and family-friendly entertainment content.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de8c5b4819095cddf989cade60d completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.