Triple

T3537237
Position Surface form Disambiguated ID Type / Status
Subject Shigeru Miyamoto E74798 entity
Predicate creatorOf P806 FINISHED
Object Bowser E74801 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: Bowser | Statement: [Shigeru Miyamoto, creatorOf, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowser
Context triple: [Shigeru Miyamoto, creatorOf, Bowser]
  • A. Bowser chosen
    Bowser is the iconic fire-breathing, turtle-like villain from Nintendo’s Super Mario series, known as Mario’s arch-nemesis and the king of the Koopas.
  • B. Roy Koopa
    Roy Koopa is one of the Koopalings in the Super Mario series, known for his bulky build, sunglasses, and role as a mid-level boss serving Bowser.
  • C. Ludwig von Koopa
    Ludwig von Koopa is one of the Koopalings in the Super Mario series, known for his wild blue hair, classical music-inspired name, and role as a recurring boss character.
  • D. Larry Koopa
    Larry Koopa is one of the Koopalings in the Super Mario series, a recurring boss character known for his blue hair, mischievous personality, and role as a high-ranking minion of Bowser.
  • E. Lemmy Koopa
    Lemmy Koopa is one of the Koopalings in the Super Mario series, known for his playful, clown-like personality and battles that often involve balancing on a rubber ball.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fab6d48190b13076783a62b96f completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:20 p.m.