Triple

T15382501
Position Surface form Disambiguated ID Type / Status
Subject Donkey Kong Country E367837 entity
Predicate antagonist P4675 FINISHED
Object King K. Rool E399982 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: King K. Rool | Statement: [Donkey Kong Country, antagonist, King K. Rool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King K. Rool
Context triple: [Donkey Kong Country, antagonist, King K. Rool]
  • A. King K. Rool chosen
    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.
  • B. 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.
  • C. Bowser
    Bowser is a small unincorporated coastal community on central Vancouver Island in British Columbia, Canada.
  • D. Bowser
    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.
  • E. Baron Peach
    Baron Peach is the life peerage title held by Stuart Peach, a senior British Royal Air Force officer and former Chief of the Defence Staff.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219863b48190a68e73c85e27472c completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:19 a.m.