Triple

T15537047
Position Surface form Disambiguated ID Type / Status
Subject Mii E370373 entity
Predicate hasSubclass P1244 FINISHED
Object Mii Fighter E370373 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: Mii Fighter | Statement: [Mii, hasSubclass, Mii Fighter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mii Fighter
Context triple: [Mii, hasSubclass, Mii Fighter]
  • A. Mii Contest Channel
    Mii Contest Channel was a Wii channel application that let players submit, share, and vote on user-created Miis in various contests and popularity rankings.
  • B. Mii chosen
    Mii is a customizable avatar character created by players on Nintendo consoles and used across various games as a personal in-game representation.
  • C. Wii Sports
    Wii Sports is a motion-controlled sports video game compilation for the Nintendo Wii that became a cultural phenomenon and one of the best-selling games of all time.
  • D. Pilotwings
    Pilotwings is a flight simulation video game for the Super Nintendo Entertainment System known for its Mode 7 graphics and relaxing, atmospheric soundtrack.
  • E. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.