Triple

T6044316
Position Surface form Disambiguated ID Type / Status
Subject Hannibal (novel) E134627 entity
Predicate author P4 FINISHED
Object Thomas Harris E125454 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: Thomas Harris | Statement: [Hannibal (novel), author, Thomas Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Harris
Context triple: [Hannibal (novel), author, Thomas Harris]
  • A. Thomas Harris chosen
    Thomas Harris is an American novelist best known for creating the character Hannibal Lecter in his series of psychological horror thrillers.
  • B. Patricia Cornwell
    Patricia Cornwell is an American crime writer best known for her bestselling Kay Scarpetta series of forensic thrillers.
  • C. Michael Connelly
    Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
  • D. Donald E. Westlake
    Donald E. Westlake was a prolific American crime and mystery novelist best known for his witty Dortmunder series and his darker Parker novels written under the pseudonym Richard Stark.
  • E. Robert Bloch
    Robert Bloch was an American writer best known for his horror and suspense fiction, particularly the novel that inspired Alfred Hitchcock’s film "Psycho."
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1357027388190beef9b9d9f5e37f6 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:09 p.m.