Triple

T10997263
Position Surface form Disambiguated ID Type / Status
Subject Olga Kurylenko E259906 entity
Predicate appearedInFilm P795 FINISHED
Object Momentum E898799 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: Momentum | Statement: [Olga Kurylenko, appearedInFilm, Momentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momentum
Context triple: [Olga Kurylenko, appearedInFilm, Momentum]
  • A. Momentum
    Momentum is a jazz-pop studio album by British singer-songwriter and pianist Jamie Cullum, showcasing his blend of jazz, pop, and singer-songwriter influences.
  • B. Momentum
    Momentum is a contemporary classical composition by British composer Mark-Anthony Turnage, known for its energetic style and fusion of modern orchestral writing with jazz-influenced elements.
  • C. Momentum chosen
    Momentum is a 2015 action thriller film starring Olga Kurylenko as a skilled thief caught in a deadly conspiracy.
  • D. Momentum
    "Momentum" is a reflective alternative rock song by singer-songwriter Aimee Mann, known for its appearance on the soundtrack of the film "Magnolia."
  • E. Inertia
    Inertia is a Canadian drama film that explores themes of emotional disconnection and stalled relationships.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.