Triple

T35920718
Position Surface form Disambiguated ID Type / Status
Subject The Adventures of Super Mario Bros. 3 E1038875 entity
Predicate featuresCharacter P626 FINISHED
Object Hip Koopa
Hip Koopa is one of the Koopa Kids from the Super Mario franchise, characterized by his cool, hip-hop-inspired personality and appearances in Mario animated series and related media.
E2209128 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: Hip Koopa | Statement: [The Adventures of Super Mario Bros. 3, featuresCharacter, Hip Koopa]
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: Hip Koopa
Triple: [The Adventures of Super Mario Bros. 3, featuresCharacter, Hip Koopa]
Generated description
Hip Koopa is one of the Koopa Kids from the Super Mario franchise, characterized by his cool, hip-hop-inspired personality and appearances in Mario animated series and related media.

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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaa9ba18819082a9b86a87e82f75 completed May 3, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e573e067c8190adafca8177fa3d58 completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e5b33e4508190a75434c1413c4d6a completed June 26, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a3e7da5bd548190b736891357260cee completed June 26, 2026, 1:24 p.m.
Created at: May 3, 2026, 4:07 p.m.