Triple

T15436992
Position Surface form Disambiguated ID Type / Status
Subject Point of No Return E369789 entity
Predicate basedOn P98 FINISHED
Object La Femme Nikita E842867 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: La Femme Nikita | Statement: [Point of No Return, basedOn, La Femme Nikita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Femme Nikita
Context triple: [Point of No Return, basedOn, La Femme Nikita]
  • 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. 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.