Triple

T14122472
Position Surface form Disambiguated ID Type / Status
Subject Oswald the Lucky Rabbit E339937 entity
Predicate hasRelative P367 FINISHED
Object Gus Goose
Gus Goose is a Disney cartoon character best known as Donald Duck’s lazy, gluttonous cousin who frequently appears in comedic stories set in Duckburg.
E1081248 NE FINISHED

How this triple was built (4 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: Gus Goose | Statement: [Oswald the Lucky Rabbit, hasRelative, Gus Goose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus Goose
Context triple: [Oswald the Lucky Rabbit, hasRelative, Gus Goose]
  • A. Wawa Goose
    Wawa Goose is a large roadside steel goose statue in Wawa, Ontario, serving as one of Canada's most famous highway landmarks.
  • B. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • C. Gus
    Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
  • D. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • E. Gus
    Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gus Goose
Triple: [Oswald the Lucky Rabbit, hasRelative, Gus Goose]
Generated description
Gus Goose is a Disney cartoon character best known as Donald Duck’s lazy, gluttonous cousin who frequently appears in comedic stories set in Duckburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gus Goose
Target entity description: Gus Goose is a Disney cartoon character best known as Donald Duck’s lazy, gluttonous cousin who frequently appears in comedic stories set in Duckburg.
  • A. Wawa Goose
    Wawa Goose is a large roadside steel goose statue in Wawa, Ontario, serving as one of Canada's most famous highway landmarks.
  • B. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • C. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • D. Gus
    Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
  • E. Gus
    Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
  • F. None of above. chosen

Provenance (5 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_69fcdf07feb48190b7519204b4f789b4 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0f2dcc48190952ea89af5c809d7 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce1792ae48190a9379abff92f0f9e completed May 7, 2026, 7:01 p.m.
Created at: April 9, 2026, 10:22 p.m.