Triple

T16204764
Position Surface form Disambiguated ID Type / Status
Subject Goober Pyle E393296 entity
Predicate givenName P17 FINISHED
Object Goober
Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
E1198845 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: Goober | Statement: [Goober Pyle, givenName, Goober]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goober
Context triple: [Goober Pyle, givenName, Goober]
  • A. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • B. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • C. Gon Gon
    "Gon Gon" is a popular Afrobeat song by Nigerian singer and producer Selebobo, known for its catchy rhythm and danceable vibe.
  • D. Gub-Gub
    Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
  • E. 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.
  • 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: Goober
Triple: [Goober Pyle, givenName, Goober]
Generated description
Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goober
Target entity description: Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
  • A. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • B. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • C. Gon Gon
    "Gon Gon" is a popular Afrobeat song by Nigerian singer and producer Selebobo, known for its catchy rhythm and danceable vibe.
  • D. Gub-Gub
    Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
  • E. 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.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff14b0988190bb4128b2e02aee32 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:03 a.m.