Triple

T14265078
Position Surface form Disambiguated ID Type / Status
Subject Oregon Duck E353623 entity
Predicate basedOn P98 FINISHED
Object Disney’s Donald Duck design 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: Disney’s Donald Duck design | Statement: [Oregon Duck, basedOn, Disney’s Donald Duck design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney’s Donald Duck design
Context triple: [Oregon Duck, basedOn, Disney’s Donald Duck design]
  • A. 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.
  • B. Donald Duck chosen
    Donald Duck is a classic Disney cartoon character, known for his sailor outfit, short temper, and distinctive semi-intelligible voice.
  • C. Mickey, Donald, and Goofy
    Mickey, Donald, and Goofy are a classic trio of Disney cartoon characters who frequently appear together in comedic animated adventures.
  • D. 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.
  • E. Mickey
    Mickey is the commonly used nickname of Mickey Leland, an American congressman and humanitarian known for his work on hunger and poverty issues.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.