Triple

T14122348
Position Surface form Disambiguated ID Type / Status
Subject Mickey Mouse (2013 TV series) E339934 entity
Predicate mainCharacter P1183 FINISHED
Object Goofy E173090 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: Goofy | Statement: [Mickey Mouse (2013 TV series), mainCharacter, Goofy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goofy
Context triple: [Mickey Mouse (2013 TV series), mainCharacter, 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 (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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324531c88190abab2092d1f7145d completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.