Triple

T14843300
Position Surface form Disambiguated ID Type / Status
Subject The Incredible Journey E349020 entity
Predicate cinematographyBy P1953 FINISHED
Object Kenneth Peach E62775 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: Kenneth Peach | Statement: [The Incredible Journey, cinematographyBy, Kenneth Peach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Peach
Context triple: [The Incredible Journey, cinematographyBy, Kenneth Peach]
  • A. Kenneth Peach chosen
    Kenneth Peach was an American cinematographer best known for his work on early Hollywood films, including pioneering visual effects and photography on the original 1933 King Kong.
  • B. Kenneth Peacock
    Kenneth Peacock was the husband of American film actress Estelle Taylor, known primarily in relation to her career in early Hollywood.
  • C. Kenneth Murray
    Kenneth Murray is a biochemist and biotechnology entrepreneur best known as a co-founder of the biopharmaceutical company Biogen.
  • D. Kenneth Buttrey
    Kenneth Buttrey was an American session drummer best known for his work on landmark recordings by artists such as Bob Dylan and Neil Young.
  • E. Kenneth Earl
    Kenneth Earl was a Hollywood screenwriter active in the early 20th century, known for contributing to American comedy and genre films.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.