Triple

T19331594
Position Surface form Disambiguated ID Type / Status
Subject Andrzej Bartkowiak E483508 entity
Predicate workedAsCinematographerOn P90619 FINISHED
Object Speed 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: Speed | Statement: [Andrzej Bartkowiak, workedAsCinematographerOn, Speed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speed
Context triple: [Andrzej Bartkowiak, workedAsCinematographerOn, Speed]
  • A. Speed chosen
    Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
  • B. Speed
    Speed is a small town located in Edgecombe County, North Carolina, United States.
  • C. Speed
    Speed is a witty, pun-loving servant and comic figure in Shakespeare’s play "The Two Gentlemen of Verona."
  • D. Speed
    Speed is a Marvel Comics superhero and member of the Young Avengers known for his superhuman velocity and resemblance to Quicksilver.
  • E. Speed
    Speed is a common English surname borne by various notable individuals in fields such as art, sports, and public life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workedAsCinematographerOn
Context triple: [Andrzej Bartkowiak, workedAsCinematographerOn, Speed]
  • A. cinematographerOfWork chosen
    Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
  • B. workedAsDirectorFor
    Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
  • C. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • D. cinematographyAwardedTo
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • E. hasWorkedOnFilmBy
    Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
  • F. None of above.

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
PD Predicate disambiguation batch_69e4dd12303c8190a2027c062b2dff40 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:33 p.m.