Triple

T13410246
Position Surface form Disambiguated ID Type / Status
Subject Nikita Dragun E320066 entity
Predicate appearedIn P795 FINISHED
Object Nikita Unfiltered E1039932 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 Unfiltered | Statement: [Nikita Dragun, appearedIn, Nikita Unfiltered]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikita Unfiltered
Context triple: [Nikita Dragun, appearedIn, Nikita Unfiltered]
  • A. Nikita Unfiltered chosen
    Nikita Unfiltered is a reality web series following beauty influencer Nikita Dragun’s personal and professional life.
  • B. Nikita
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • C. Nikita
    Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
  • D. La Femme Nikita
    La Femme Nikita is a Canadian television drama series about a convicted criminal forced to work as an assassin for a secret government organization.
  • E. Little Nikita
    Little Nikita is a 1988 American thriller film starring River Phoenix and Sidney Poitier that blends coming-of-age drama with Cold War espionage.
  • 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_69f739857dd4819087e64b956a814939 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:35 p.m.