Triple

T10974317
Position Surface form Disambiguated ID Type / Status
Subject Curzon Film Distributors E259328 entity
Predicate parentOrganization P254 FINISHED
Object Curzon E614372 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: Curzon | Statement: [Curzon Film Distributors, parentOrganization, Curzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curzon
Context triple: [Curzon Film Distributors, parentOrganization, Curzon]
  • A. Curzon chosen
    Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
  • B. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • C. Williamswood
    Williamswood is a small suburban community in the Halifax Regional Municipality of Nova Scotia, Canada.
  • D. Cadogan
    Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
  • E. Winstone
    Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f3794c8190b1992b4695139b62 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7aeb66c8190b9d18642b2ad2ea0 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.