Triple

T27296305
Position Surface form Disambiguated ID Type / Status
Subject Gunther Magnuson E688772 entity
Predicate friendOf P8712 FINISHED
Object Kick Buttowski
Kick Buttowski is a fearless, thrill-seeking suburban daredevil kid from the animated TV series "Kick Buttowski: Suburban Daredevil," known for his extreme stunts and signature white jumpsuit.
E1742142 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: Kick Buttowski | Statement: [Gunther Magnuson, friendOf, Kick Buttowski]
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: Kick Buttowski
Triple: [Gunther Magnuson, friendOf, Kick Buttowski]
Generated description
Kick Buttowski is a fearless, thrill-seeking suburban daredevil kid from the animated TV series "Kick Buttowski: Suburban Daredevil," known for his extreme stunts and signature white jumpsuit.

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_69ef355a96308190a2bed991525fb278 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6277ff9848190958c203e511b1393 completed May 2, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1606e918588190ac8ab005b6f87e58 completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a161404f5908190993589611f152cd1 completed May 26, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1616734eac8190947663ebe6c3d478 completed May 26, 2026, 9:53 p.m.
Created at: April 27, 2026, 11:19 a.m.