Triple

T3249052
Position Surface form Disambiguated ID Type / Status
Subject Fun and Fancy Free E68132 entity
Predicate featuresCharacter P626 FINISHED
Object Mickey Mouse E67971 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: Mickey Mouse | Statement: [Fun and Fancy Free, featuresCharacter, Mickey Mouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mickey Mouse
Context triple: [Fun and Fancy Free, featuresCharacter, Mickey Mouse]
  • A. Mickey Mouse chosen
    Mickey Mouse is an iconic cartoon character created by Walt Disney, widely recognized as the cheerful mascot of The Walt Disney Company and a symbol of global popular culture.
  • B. Mickey
    Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
  • C. Mickey
    Mickey is the nickname of Gordon "Mickey" Cochrane, a Hall of Fame American Major League Baseball catcher and manager from the early 20th century.
  • D. Minnie Mouse
    Minnie Mouse is an iconic Disney cartoon character known as Mickey Mouse’s longtime sweetheart, recognizable by her polka-dot dress and bow.
  • E. Donald Duck
    Donald Duck is a classic Disney cartoon character, known for his sailor outfit, short temper, and distinctive semi-intelligible voice.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.