Triple

T15412701
Position Surface form Disambiguated ID Type / Status
Subject Waluigi E368633 entity
Predicate partnerOf P1136 FINISHED
Object Wario E169883 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: Wario | Statement: [Waluigi, partnerOf, Wario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wario
Context triple: [Waluigi, partnerOf, Wario]
  • A. Wario chosen
    Wario is a greedy, mischievous antihero in Nintendo’s Mario franchise, known for his brutish strength, distinctive yellow and purple outfit, and starring role in the Wario Land and WarioWare game series.
  • B. Waluigi
    Waluigi is a lanky, mustachioed antagonist from Nintendo’s Mario franchise, often appearing as Wario’s partner in spin-off sports and party games.
  • C. Boo Luigi
    Boo Luigi is a ghostly transformation of Luigi in the Mario series that allows him to float, phase through objects, and interact with other ghosts.
  • D. Yoshi
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • E. Kamek
    Kamek is a recurring Magikoopa villain in the Mario franchise, typically depicted as Bowser’s magical advisor and caretaker who uses powerful spells to hinder Mario and his allies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219de0f88190a914bfee5dde32c9 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.