Triple

T7339897
Position Surface form Disambiguated ID Type / Status
Subject Muriel Bowser E169220 entity
Predicate familyName P18 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: [Muriel Bowser, familyName, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowser
Context triple: [Muriel Bowser, familyName, 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. Bowser Jr.
    Bowser Jr. is a recurring antagonist in the Super Mario series, known as Bowser’s mischievous son who frequently schemes against Mario and his allies.
  • C. 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.
  • D. King Koopa
    King Koopa is the primary villain of Nintendo’s Super Mario series, a powerful, fire-breathing turtle-like king who frequently kidnaps Princess Peach and battles Mario.
  • E. King K. Rool
    King K. Rool is the main villainous crocodile king of the Kremlings in the Donkey Kong video game series, known for his over-the-top costumes and comically menacing personality.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0d89cd481908c8c2dbcb034b111 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef266fd0819096cf3ece3fff6b90 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.