Triple

T20006959
Position Surface form Disambiguated ID Type / Status
Subject Zen E494483 entity
Predicate castMember P1668 FINISHED
Object Allan Corduner 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: Allan Corduner | Statement: [Zen, castMember, Allan Corduner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Corduner
Context triple: [Zen, castMember, Allan Corduner]
  • A. Allan Corduner chosen
    Allan Corduner is a British actor known for his work in film, television, and theatre, often recognized for character roles in period dramas and independent cinema.
  • B. Allan Kovac
    Allan Kovac is a veteran American music and entertainment executive and artist manager known for his work with major rock acts and for founding the management and production company Tenth Street Entertainment.
  • C. Guy Doleman
    Guy Doleman was a New Zealand-born character actor best known for his roles in 1960s British spy films, including appearances in the Harry Palmer and early James Bond movies.
  • D. John Zulberti
    John Zulberti is a former standout lacrosse player best known for his collegiate career with the Syracuse University men's lacrosse program.
  • E. Gene Quintano
    Gene Quintano is an American screenwriter, director, and producer best known for his work on action-comedy films such as the Police Academy series and other Hollywood genre movies.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a648a88190853ee741edcf6ca2 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.