Triple

T20140723
Position Surface form Disambiguated ID Type / Status
Subject Lampwick (Guillermo del Toro's Pinocchio) E491155 entity
Predicate basedOn P98 FINISHED
Object Lampwick 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: Lampwick | Statement: [Lampwick (Guillermo del Toro's Pinocchio), basedOn, Lampwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lampwick
Context triple: [Lampwick (Guillermo del Toro's Pinocchio), basedOn, Lampwick]
  • A. Lampwick chosen
    Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
  • B. Blackton
    Blackton is an English-origin surname most notably associated with J. Stuart Blackton, a pioneering figure in early animation and silent cinema.
  • C. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • D. Polton
    Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
  • E. Tibbits
    Tibbits is an English-language surname borne by various notable individuals across different fields.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.