Triple

T20390428
Position Surface form Disambiguated ID Type / Status
Subject Nikita E498068 entity
Predicate character P662 FINISHED
Object Michael Bishop NE NERFINISHED

How this triple was built (3 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: Michael Bishop | Statement: [Nikita, character, Michael Bishop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bishop
Context triple: [Nikita, character, Michael Bishop]
  • A. Michael Bishop
    Michael Bishop is the father of Irish-American comedian Des Bishop and is known to audiences through his son's work, including appearances in Des's autobiographical projects.
  • B. Michael Bishop
    Michael Bishop is a former American football quarterback best known for his standout collegiate career at Kansas State University in the late 1990s and subsequent play in the NFL and CFL.
  • C. Brian Hartnett
    Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
  • D. John Kessel
    John Kessel is an American science fiction author and academic known for his award-winning short stories and novels that often blend satire, literary experimentation, and genre tropes.
  • E. Fredric R. Mann
    Fredric R. Mann was an American businessman and philanthropist known for his major support of the performing arts, particularly in Philadelphia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Bishop
Target entity description: Michael Bishop is a central character in the TV series "Nikita," depicted as a highly skilled and morally conflicted operative and mentor within the covert organization Division.
  • A. Michael Bishop
    Michael Bishop is the father of Irish-American comedian Des Bishop and is known to audiences through his son's work, including appearances in Des's autobiographical projects.
  • B. Michael Bishop
    Michael Bishop is a former American football quarterback best known for his standout collegiate career at Kansas State University in the late 1990s and subsequent play in the NFL and CFL.
  • C. Brian Hartnett
    Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
  • D. John Kessel
    John Kessel is an American science fiction author and academic known for his award-winning short stories and novels that often blend satire, literary experimentation, and genre tropes.
  • E. Fredric R. Mann
    Fredric R. Mann was an American businessman and philanthropist known for his major support of the performing arts, particularly in Philadelphia.
  • F. None of above. chosen

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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.