Triple

T20208647
Position Surface form Disambiguated ID Type / Status
Subject From Russia, with Love E493426 entity
Predicate coverArtist P184 FINISHED
Object Richard Chopping NE NERFINISHED

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: Richard Chopping | Statement: [From Russia, with Love, coverArtist, Richard Chopping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Chopping
Context triple: [From Russia, with Love, coverArtist, Richard Chopping]
  • A. Richard Chopping chosen
    Richard Chopping was a British painter and illustrator best known for his distinctive trompe-l'œil dust jacket designs for Ian Fleming’s James Bond novels.
  • B. Jack Kitchin
    Jack Kitchin was a film editor known for his work on early Hollywood productions, including classic musicals of the 1930s.
  • C. David Chiswell
    David Chiswell is a British biotechnologist and entrepreneur best known as a co-founder and former leader of the pioneering antibody drug discovery company Cambridge Antibody Technology.
  • D. Ron Chaimowitz
    Ron Chaimowitz is a business executive best known as the founding leader behind the video game publisher GT Interactive.
  • E. Christopher Harter
    Christopher Harter is known primarily as the husband of British actor Jeremy Kemp.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.