Triple

T11982767
Position Surface form Disambiguated ID Type / Status
Subject Disney Villains E285201 entity
Predicate includesCharacter P5716 FINISHED
Object King Candy E834620 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: King Candy | Statement: [Disney Villains, includesCharacter, King Candy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Candy
Context triple: [Disney Villains, includesCharacter, King Candy]
  • A. King Candy chosen
    King Candy is the main antagonist of Disney's animated film "Wreck-It Ralph," a duplicitous ruler of the Sugar Rush game world who hides a dark secret about his true identity.
  • B. Candy Kong
    Candy Kong is a recurring character in the Donkey Kong video game series, typically portrayed as Donkey Kong’s love interest and a friendly, music-loving Kong who often provides save points or support to the player.
  • C. Sugar Rush
    Sugar Rush is a British television drama series, based on Julie Burchill’s novel, that follows the coming-of-age and romantic entanglements of a teenage girl in Brighton.
  • D. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • E. Candy
    "Candy" is a song by the band Broken Silence.
  • 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_69f4721913108190bd767c671f6484de completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.