Triple

T15666725
Position Surface form Disambiguated ID Type / Status
Subject Disney Comics E377205 entity
Predicate featuresCharacter P626 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: [Disney Comics, featuresCharacter, Goofy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goofy
Context triple: [Disney Comics, featuresCharacter, 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1151548190a14607e762686cb1 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a22888819092ea521bbad7bcb7 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.