Triple

T18780514
Position Surface form Disambiguated ID Type / Status
Subject Corey Burton E459241 entity
Predicate voiceRole P12691 FINISHED
Object Ludwig Von Drake NE NERFINISHED

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: Ludwig Von Drake | Statement: [Corey Burton, voiceRole, Ludwig Von Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwig Von Drake
Context triple: [Corey Burton, voiceRole, Ludwig Von Drake]
  • A. Ludwig Von Drake chosen
    Ludwig Von Drake is a Disney character portrayed as an eccentric, highly intelligent professor and scientist, often appearing in educational cartoons and as a relative of Donald Duck.
  • B. Nathaniel Winkle
    Nathaniel Winkle is a comically inept yet earnest sportsman and member of the Pickwick Club in Charles Dickens's novel "The Pickwick Papers."
  • C. Spencer Trilby
    Spencer Trilby is the gruff, eye-patched director of the secret U.S. intelligence agency Omega Sector in the film "True Lies."
  • D. Carl Crow
    Carl Crow was an American journalist, advertising executive, and author best known for his influential work in early 20th-century Shanghai and his book "400 Million Customers" about doing business in China.
  • E. Simon Gratz
    Simon Gratz was a prominent Philadelphia lawyer, civic leader, and education advocate in the late 19th and early 20th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933e35a481908c21f7f488e1dd99 completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.