Triple

T15382502
Position Surface form Disambiguated ID Type / Status
Subject Donkey Kong Country E367837 entity
Predicate enemyFaction P53524 FINISHED
Object Kremlings E370304 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: Kremlings | Statement: [Donkey Kong Country, enemyFaction, Kremlings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kremlings
Context triple: [Donkey Kong Country, enemyFaction, Kremlings]
  • A. Kremlings chosen
    Kremlings are a recurring race of crocodilian villains in the Donkey Kong video game series, often serving as the primary antagonists led by King K. Rool.
  • B. Klementieff
    Klementieff is the surname of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
  • C. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • D. Grechko
    Grechko is a Russian surname most notably associated with Soviet military leader Andrei Grechko, a Marshal of the Soviet Union and former Minister of Defense.
  • E. Poluektovich
    Poluektovich is the patronymic middle name of the Russian nobleman Kirill Poluektovich Naryshkin, father of Tsaritsa Natalya Naryshkina and grandfather of Peter the Great.
  • 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_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.