Triple

T6044298
Position Surface form Disambiguated ID Type / Status
Subject Hannibal (TV series) – referenced/alternate continuity E134626 entity
Predicate drawsFromNovel P60250 FINISHED
Object Red Dragon E321929 NE FINISHED

How this triple was built (3 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: Red Dragon | Statement: [Hannibal (TV series) – referenced/alternate continuity, drawsFromNovel, Red Dragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Dragon
Context triple: [Hannibal (TV series) – referenced/alternate continuity, drawsFromNovel, Red Dragon]
  • A. Red Dragon chosen
    Red Dragon is a 2002 psychological horror thriller film, based on Thomas Harris's novel, that serves as a prequel to The Silence of the Lambs and features the character Hannibal Lecter.
  • B. The Silence of the Lambs (novel)
    The Silence of the Lambs is a 1988 psychological horror novel by Thomas Harris that follows FBI trainee Clarice Starling as she seeks the help of imprisoned cannibalistic serial killer Dr. Hannibal Lecter to catch another murderer.
  • C. The Bone Collector
    The Bone Collector is a 1999 crime thriller film about a quadriplegic forensic expert and a rookie cop hunting a serial killer in New York City.
  • D. Murder by Numbers
    Murder by Numbers is a 2002 psychological crime thriller film about two high school students who commit a carefully planned murder, starring Sandra Bullock and Ben Chaplin.
  • E. The Jackal
    "The Jackal" is a 1997 action thriller film, loosely based on the 1973 movie "The Day of the Jackal," about an elusive assassin hired for a high-profile political killing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drawsFromNovel
Context triple: [Hannibal (TV series) – referenced/alternate continuity, drawsFromNovel, Red Dragon]
  • A. basedInNovel chosen
    Indicates that something (such as a work, adaptation, or element) is derived from, set in, or primarily grounded in the narrative world of a particular novel.
  • B. worksForInNovel
    Indicates that one entity is employed by or serves another entity within the fictional context of a specific novel.
  • C. hasNovelization
    Indicates that a work has been adapted into a novel or prose narrative form.
  • D. draws
    Indicates that one entity creates a visual representation or image of another entity.
  • E. isOnlyNovelBy
    Indicates that the referenced work is the sole novel created by the specified author or creator.
  • F. None of above.

Provenance (4 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_69c5e3b108c48190a11ad1a9440fcb12 completed March 27, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69c049eb52a08190ac10fd703735f5aa completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:09 p.m.