Triple

T13410232
Position Surface form Disambiguated ID Type / Status
Subject Nikita Dragun E320066 entity
Predicate hasYouTubeChannel P8080 FINISHED
Object Nikita Dragun E320066 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: Nikita Dragun | Statement: [Nikita Dragun, hasYouTubeChannel, Nikita Dragun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikita Dragun
Context triple: [Nikita Dragun, hasYouTubeChannel, Nikita Dragun]
  • A. Nikita Dragun chosen
    Nikita Dragun is a transgender beauty influencer, YouTuber, and entrepreneur known for her makeup content and cosmetics brand Dragun Beauty.
  • B. Nikita Panin
    Nikita Panin was an influential 18th-century Russian statesman and diplomat who served as a leading advisor during the reign of Catherine the Great and shaped the empire’s foreign policy.
  • C. Natalia Kulik
    Natalia Kulik is a notable individual recognized for achievements significant enough to be associated with the surname Kulik.
  • D. Olga Kurylenko
    Olga Kurylenko is a Ukrainian-French actress and model best known for her roles in action and thriller films, including the James Bond movie "Quantum of Solace."
  • E. Dominika Egorova
    Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.