Triple

T19463643
Position Surface form Disambiguated ID Type / Status
Subject Walt Disney Productions E486937 entity
Predicate createdCharacter P2004 FINISHED
Object Goofy 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: Goofy | Statement: [Walt Disney Productions, createdCharacter, Goofy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goofy
Context triple: [Walt Disney Productions, createdCharacter, Goofy]
  • A. Goofy chosen
    Goofy is a tall, anthropomorphic dog and classic Disney cartoon character known for his clumsiness, distinctive laugh, and good-natured personality.
  • B. Max Goof
    Max Goof is Goofy's teenage son in Disney media, known for his more grounded personality and central role in films like "A Goofy Movie."
  • C. Droopy
    Droopy is a classic, deadpan cartoon dog from American animated shorts, best known for his slow, monotone delivery and unexpectedly effective antics.
  • D. Muttley
    Muttley is a cartoon dog best known as Dick Dastardly’s snickering sidekick in Hanna-Barbera’s slapstick racing and aviation-themed series.
  • E. Woody Woodpecker
    Woody Woodpecker is a classic animated cartoon character known for his manic personality, distinctive laugh, and starring role in numerous Walter Lantz and Universal Studios cartoons.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cf95988190b13b2153e67d0cac completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.