Triple

T8802176
Position Surface form Disambiguated ID Type / Status
Subject Norby and the Robot for Hire E209435 entity
Predicate hasTitleCharacter P5716 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 Robot for Hire, hasTitleCharacter, Norby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norby
Context triple: [Norby and the Robot for Hire, hasTitleCharacter, 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb9c5c88190881b069e1face10c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065b11f3c81909c787d365b242d57 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 6:44 p.m.