Triple

T12340240
Position Surface form Disambiguated ID Type / Status
Subject Dad's Army (2016 film) E294202 entity
Predicate stars P1956 FINISHED
Object Blake Harrison E875797 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: Blake Harrison | Statement: [Dad's Army (2016 film), stars, Blake Harrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blake Harrison
Context triple: [Dad's Army (2016 film), stars, Blake Harrison]
  • A. Blake Harrison chosen
    Blake Harrison is a British actor best known for playing Neil Sutherland in the hit comedy series "The Inbetweeners."
  • B. Henry Hackett
    Henry Hackett is the driven, overworked metro editor of a New York City tabloid newspaper in the film "The Paper," juggling ethical dilemmas, breaking news, and his strained personal life.
  • C. Harvey Harrison
    Harvey Harrison is a cinematographer known for his work on feature films, including the 1986 drama "Castaway."
  • D. Joseph Harris
    Joseph Harris is a theatrical producer best known for his work on the Broadway musical "The Will Rogers Follies."
  • E. Stephen Harrison
    Stephen Harrison is a film editor known for his work on classic British cinema, including the historical drama "The Private Life of Henry VIII."
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8ed1dc81908a0066d7cbfda086 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:53 p.m.