Triple

T11982831
Position Surface form Disambiguated ID Type / Status
Subject Disney Villains E285201 entity
Predicate hasKeyCharacter P70239 FINISHED
Object Yzma E700220 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: Yzma | Statement: [Disney Villains, hasKeyCharacter, Yzma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yzma
Context triple: [Disney Villains, hasKeyCharacter, Yzma]
  • A. Yzma chosen
    Yzma is the power-hungry, comically villainous royal advisor and sorceress who schemes to overthrow Emperor Kuzco in Disney's animated film "The Emperor's New Groove."
  • B. 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.
  • C. Enchantress
    Enchantress is a powerful, ancient sorceress who possesses archaeologist June Moone and serves as one of the primary antagonists in the 2016 superhero film "Suicide Squad."
  • D. Jafar
    Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
  • E. Velma Von Tussle
    Velma Von Tussle is a vain, racist, and manipulative TV station manager and former beauty queen who serves as one of the main antagonists in the musical and film "Hairspray."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48aa73458819097a69b371350743c completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:46 p.m.