Triple

T9477276
Position Surface form Disambiguated ID Type / Status
Subject Intelligent Systems E228546 entity
Predicate createdSeries P22111 FINISHED
Object WarioWare E658169 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: WarioWare | Statement: [Intelligent Systems, createdSeries, WarioWare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WarioWare
Context triple: [Intelligent Systems, createdSeries, WarioWare]
  • A. WarioWare chosen
    WarioWare is a fast-paced video game series by Nintendo known for its quirky humor and rapid-fire microgames starring Wario and a cast of eccentric characters.
  • B. Wario World
    Wario World is a 3D action-platformer video game for the Nintendo GameCube starring Wario as he battles through treasure-filled levels to reclaim his stolen riches.
  • C. Wario Land
    Wario Land is a platforming video game starring Nintendo’s anti-hero Wario, known for its treasure-hunting gameplay and inventive level design.
  • D. Wario Waft
    Wario Waft is Wario’s powerful, chargeable fart-based special attack in the Super Smash Bros. series, known for its explosive knockback when fully charged.
  • E. Wario Land 4
    Wario Land 4 is a 2001 Game Boy Advance platformer starring Wario, known for its treasure-hunting gameplay, puzzle-filled levels, and distinctive mix of humor and exploration.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd801386948190890133f622ff360b completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139f261248190b8e3238f7618191d completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:54 p.m.