Triple

T21898020
Position Surface form Disambiguated ID Type / Status
Subject William Petersen as Will Graham E540730 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Hannibal Lecktor 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: Hannibal Lecktor | Statement: [William Petersen as Will Graham, associatedWithCharacter, Hannibal Lecktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannibal Lecktor
Context triple: [William Petersen as Will Graham, associatedWithCharacter, Hannibal Lecktor]
  • A. Hannibal Lecter chosen
    Hannibal Lecter is a brilliant but psychopathic cannibalistic serial killer and psychiatrist, best known as the chilling antagonist in Thomas Harris’s novels and their film adaptations.
  • B. Michael Moriarty
    Michael Moriarty is an American-Canadian actor known for his intense character roles in film and television, including his Emmy-winning work on the series "Law & Order."
  • C. Don Moriarty
    Don Moriarty is a screenwriter best known for co-writing the 1981 swashbuckling comedy film "Zorro, The Gay Blade."
  • D. Moriarty
    Moriarty is a small city in central New Mexico, known as a gateway community along historic U.S. Route 66.
  • E. P.H. Moriarty
    P.H. Moriarty is a British actor best known for his tough-guy roles in films such as "Lock, Stock and Two Smoking Barrels" and "The Long Good Friday."
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.