Triple

T16793446
Position Surface form Disambiguated ID Type / Status
Subject Iron Lake, New York E408170 entity
Predicate appearsIn P795 FINISHED
Object Dexter franchise E139146 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 franchise | Statement: [Iron Lake, New York, appearsIn, Dexter franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dexter franchise
Context triple: [Iron Lake, New York, appearsIn, Dexter franchise]
  • A. Dexter chosen
    Dexter is a critically acclaimed American crime drama television series that follows a Miami forensic blood-spatter analyst who leads a secret life as a vigilante serial killer.
  • B. Dexter
    Dexter is a surname most notably associated with English crime writer Colin Dexter, creator of the Inspector Morse series.
  • C. Dexter
    Dexter is a central fictional character in Helen Garner's novella "The Children’s Bach," around whom much of the story’s domestic and emotional tension revolves.
  • D. Dexter
    Dexter is the future Atlantic hurricane name chosen to replace the retired name Dorian on the World Meteorological Organization’s rotating storm list.
  • E. Dexter
    Dexter is a boy genius and secret inventor who stars as the protagonist of the animated television series "Dexter's Laboratory."
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28970748190836806c68ad9e230 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.