Triple

T10861132
Position Surface form Disambiguated ID Type / Status
Subject Don Francks E256405 entity
Predicate notableWork P4 FINISHED
Object La Femme Nikita (TV series) 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 (TV series) | Statement: [Don Francks, notableWork, La Femme Nikita (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Femme Nikita (TV series)
Context triple: [Don Francks, notableWork, La Femme Nikita (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. 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.
  • E. Third Watch
    Third Watch is an American television drama series that follows the lives of New York City police officers, firefighters, and paramedics working the 3 p.m. to 11 p.m. shift.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.