Triple

T15578246
Position Surface form Disambiguated ID Type / Status
Subject Dixie Kong E374423 entity
Predicate associatedWith P37 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: [Dixie Kong, associatedWith, Kremlings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kremlings
Context triple: [Dixie Kong, associatedWith, 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.