Triple

T5156566
Position Surface form Disambiguated ID Type / Status
Subject Top Gun (1955 film) E116324 entity
Predicate starring P1507 FINISHED
Object William Bishop E490157 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: William Bishop | Statement: [Top Gun (1955 film), starring, William Bishop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Bishop
Context triple: [Top Gun (1955 film), starring, William Bishop]
  • A. William Bishop chosen
    William Bishop was an American film and television actor active in the 1940s and 1950s, known for his roles in Westerns and adventure films.
  • B. William Pleeth
    William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
  • C. John Blatchley
    John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
  • D. William Bateman
    William Bateman was a 14th-century English bishop and influential academic patron best known for establishing Trinity Hall at the University of Cambridge.
  • E. Christopher Fairbank
    Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79019c6481909641f173c5b3769a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa840288190ad0e1ab7af8b9c4c completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:44 p.m.