Triple

T12225041
Position Surface form Disambiguated ID Type / Status
Subject A Man Called Gannon E291326 entity
Predicate producer P490 FINISHED
Object Edward Lewis E235298 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: Edward Lewis | Statement: [A Man Called Gannon, producer, Edward Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edward Lewis
Context triple: [A Man Called Gannon, producer, Edward Lewis]
  • A. Edward Lewis chosen
    Edward Lewis was an American film producer best known for his work on major Hollywood films of the mid-20th century, including collaborations with director Stanley Kubrick and actor Kirk Douglas.
  • B. Edward Lewis
    Edward Lewis was a British music industry executive best known as the founder of the major record label Decca Records.
  • C. Edward Gardner Lewis
    Edward Gardner Lewis was an American publisher and entrepreneur best known for developing and promoting University City, Missouri, as a planned suburban community in the early 20th century.
  • D. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • E. Peter B. Lewis
    Peter B. Lewis was an American businessman and philanthropist best known as the longtime CEO of Progressive Insurance and a major donor to arts and education institutions.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b873c308190a2c1d02723cfa2e9 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:51 p.m.