Triple

T16624275
Position Surface form Disambiguated ID Type / Status
Subject Dexter Morgan E403905 entity
Predicate basedOn P98 FINISHED
Object Dexter Morgan (novel character) E403905 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: Dexter Morgan (novel character) | Statement: [Dexter Morgan, basedOn, Dexter Morgan (novel character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dexter Morgan (novel character)
Context triple: [Dexter Morgan, basedOn, Dexter Morgan (novel character)]
  • A. Dexter Morgan chosen
    Dexter Morgan is the fictional forensic blood-spatter analyst and vigilante serial killer who serves as the antihero protagonist of the television series "Dexter."
  • B. Sinister Dexter
    Sinister Dexter is a long-running 2000 AD comic strip about two wisecracking hitmen, Finnigan Sinister and Ramone Dexter, operating in a violent, futuristic European city.
  • C. Dexter
    Dexter is the given name of Dexter Scott King, an American civil and animal rights activist and the son of Martin Luther King Jr.
  • D. Dexter
    Dexter is a boy genius and secret inventor who stars as the protagonist of the animated television series "Dexter's Laboratory."
  • E. Dexter
    Dexter is a small town in southeastern New Mexico, United States, known for its rural character and agricultural surroundings.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37550ee308190931fd50aeebe1e7e completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b7b94481909dfc0dd7b009a5b4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.