Triple

T5079587
Position Surface form Disambiguated ID Type / Status
Subject Bowser’s Castle E114481 entity
Predicate ownedBy P347 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 Castle, ownedBy, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowser
Context triple: [Bowser’s Castle, ownedBy, 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef988a0c8190a6c7898df8e94a6e completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:39 p.m.