Triple

T20390417
Position Surface form Disambiguated ID Type / Status
Subject Nikita E498068 entity
Predicate basedOn P98 FINISHED
Object La Femme Nikita (1997 TV series) NE NERFINISHED

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: La Femme Nikita (1997 TV series) | Statement: [Nikita, basedOn, La Femme Nikita (1997 TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Femme Nikita (1997 TV series)
Context triple: [Nikita, basedOn, La Femme Nikita (1997 TV series)]
  • A. La Femme Nikita chosen
    La Femme Nikita is a Canadian television drama series about a convicted criminal forced to work as an assassin for a secret government organization.
  • B. Nikita
    Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
  • C. Nikita
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • D. Nikita Unfiltered
    Nikita Unfiltered is a reality web series following beauty influencer Nikita Dragun’s personal and professional life.
  • E. Natasha Fatale
    Natasha Fatale is a fictional Russian spy and primary villainess from the animated series "The Adventures of Rocky and Bullwinkle," known for her scheming alongside her partner Boris Badenov.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.