Triple

T13448593
Position Surface form Disambiguated ID Type / Status
Subject King and Country E320547 entity
Predicate cinematographyBy P1953 FINISHED
Object Denys Coop E1041876 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: Denys Coop | Statement: [King and Country, cinematographyBy, Denys Coop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denys Coop
Context triple: [King and Country, cinematographyBy, Denys Coop]
  • A. Denys Coop chosen
    Denys Coop was a British cinematographer renowned for his innovative black-and-white photography and influential work on mid-20th-century British films.
  • B. Wyn Cooper
    Wyn Cooper is an American poet and songwriter whose poem inspired the lyrics to Sheryl Crow’s hit song “All I Wanna Do.”
  • C. Denys Cowan
    Denys Cowan is an American comic book artist and producer best known for his influential work at DC Comics and as a founding figure behind the groundbreaking, Black-led publisher Milestone Media.
  • D. Andy Cooper
    Andy Cooper was an American Negro league baseball pitcher and later manager, renowned for his standout career in the 1920s and 1930s and his eventual induction into the Baseball Hall of Fame.
  • E. Clive Dawson
    Clive Dawson is a British screenwriter best known for writing the science fiction horror film "The Last Days on Mars."
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547b484c8190881e869b3a722e89 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.