Triple

T3200564
Position Surface form Disambiguated ID Type / Status
Subject Chef Mickey's E67038 entity
Predicate featuresCharacter P626 FINISHED
Object Donald Duck E77751 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: Donald Duck | Statement: [Chef Mickey's, featuresCharacter, Donald Duck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Duck
Context triple: [Chef Mickey's, featuresCharacter, Donald Duck]
  • A. Donald Duck chosen
    Donald Duck is a classic Disney cartoon character, known for his sailor outfit, short temper, and distinctive semi-intelligible voice.
  • B. Daffy Duck
    Daffy Duck is a classic Looney Tunes cartoon character known for his zany, self-centered antics and comedic rivalry with characters like Bugs Bunny.
  • C. Daisy Duck
    Daisy Duck is a classic Disney cartoon character, typically portrayed as Donald Duck’s sophisticated, strong-willed girlfriend and a close friend of Minnie Mouse.
  • D. Mickey Mouse
    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.
  • E. 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.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9aedef08190824bdf508f85f06f completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bc3695c8190abd58dbc74ca2271 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.