Triple

T5192669
Position Surface form Disambiguated ID Type / Status
Subject Bowser’s library E117193 entity
Predicate theme P261 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: [Bowser’s library, theme, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowser
Context triple: [Bowser’s library, theme, 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79efd16c8190b0b16278a00baecd completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f9a1c48190939a5073bd779be6 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:46 p.m.