Triple

T3649086
Position Surface form Disambiguated ID Type / Status
Subject Super Mario 3D World E77373 entity
Predicate enemy P4567 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: [Super Mario 3D World, enemy, Bowser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowser
Context triple: [Super Mario 3D World, enemy, 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38c22548190a271a69fb832a5a8 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65082ca248190bfe7350ccc6b6b6a completed March 15, 2026, 6:24 a.m.
Created at: March 8, 2026, 3:24 p.m.