Triple

T12877234
Position Surface form Disambiguated ID Type / Status
Subject Bound E307999 entity
Predicate cinematographyBy P1953 FINISHED
Object Bill Pope E195722 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: Bill Pope | Statement: [Bound, cinematographyBy, Bill Pope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Pope
Context triple: [Bound, cinematographyBy, Bill Pope]
  • A. Bill Pope chosen
    Bill Pope is an acclaimed American cinematographer best known for his dynamic, visually inventive work on major films such as The Matrix trilogy and the Spider-Man series.
  • B. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • C. Bill Nunn
    Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
  • D. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.