Triple

T8494402
Position Surface form Disambiguated ID Type / Status
Subject Norby and the Terrified Taxi E201060 entity
Predicate mainCharacter P1183 FINISHED
Object Norby E201037 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: Norby | Statement: [Norby and the Terrified Taxi, mainCharacter, Norby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norby
Context triple: [Norby and the Terrified Taxi, mainCharacter, Norby]
  • A. Norby chosen
    Norby is a quirky, intelligent robot protagonist from the science fiction series "The Norby Chronicles" created by Janet and Isaac Asimov.
  • B. Nordy
    Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
  • C. Fedje
    Fedje is a small island municipality off the western coast of Norway, known for its fishing heritage and scenic North Sea landscapes.
  • D. Norval
    Norval is a small historic village in Ontario, Canada, known for its scenic Credit River setting and association with author Lucy Maud Montgomery.
  • E. Bubley
    Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57c01f881908cb77c8c834ac08d completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e8ea2748190b9ffa2f36c0e397c completed April 3, 2026, 7:38 a.m.
Created at: March 30, 2026, 6:13 p.m.