Triple

T13057754
Position Surface form Disambiguated ID Type / Status
Subject Sorcerer Mickey E327621 entity
Predicate employerInStory P40735 FINISHED
Object Yen Sid E284158 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: Yen Sid | Statement: [Sorcerer Mickey, employerInStory, Yen Sid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yen Sid
Context triple: [Sorcerer Mickey, employerInStory, Yen Sid]
  • A. Yen Sid chosen
    Yen Sid is the powerful and enigmatic sorcerer from Disney's "Fantasia," best known as Mickey Mouse's stern magical mentor in "The Sorcerer's Apprentice" segment.
  • B. Mako Miyamoto
    Mako Miyamoto is a filmmaker and visual storyteller known for his imaginative, cinematic work that often blends surreal, sci-fi, and narrative elements.
  • C. Duke of Sora
    The Duke of Sora was a noble title in the Kingdom of Naples historically associated with the influential Italian della Rovere family.
  • D. Mombi
    Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
  • E. Okame
    Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.