Triple

T26786190
Position Surface form Disambiguated ID Type / Status
Subject Principal Henry E670384 entity
Predicate employer P7 FINISHED
Object Kick Buttowski's school
Kick Buttowski's school is the primary educational setting in the animated series "Kick Buttowski: Suburban Daredevil," where much of the show's school-related action and character interactions take place.
E1742148 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's school | Statement: [Principal Henry, employer, Kick Buttowski's school]
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's school
Triple: [Principal Henry, employer, Kick Buttowski's school]
Generated description
Kick Buttowski's school is the primary educational setting in the animated series "Kick Buttowski: Suburban Daredevil," where much of the show's school-related action and character interactions take place.

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_69eeb31d45f8819089f52ebdbc556218 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6197fccd0819097d2a402003b05ab completed May 2, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a120962c28c819082f5611d27f46b92 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a3f4550819095c30c79f5faa104 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b0591e0819080d57a6f01e4128b completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:13 a.m.