Triple

T21651678
Position Surface form Disambiguated ID Type / Status
Subject Alexei Ratmansky E534352 entity
Predicate notableWork P4 FINISHED
Object Russian Seasons NE NERFINISHED

How this triple was built (3 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: Russian Seasons | Statement: [Alexei Ratmansky, notableWork, Russian Seasons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian Seasons
Context triple: [Alexei Ratmansky, notableWork, Russian Seasons]
  • A. Russian Seasons in Paris
    Russian Seasons in Paris was a landmark series of early 20th-century ballet and opera productions that introduced Russian art, music, and dance to Western Europe and revolutionized modern performance.
  • B. Different Seasons
    Different Seasons is a 1982 collection of four novellas by Stephen King, notable for including the stories that inspired the films The Shawshank Redemption, Stand by Me, and Apt Pupil.
  • C. Love and the Russian Winter
    Love and the Russian Winter is a studio album by British soul and pop band Simply Red, showcasing their blend of blue-eyed soul, pop, and contemporary production.
  • D. Once Upon a Time in Russia
    Once Upon a Time in Russia is a nonfiction book by Ben Mezrich that chronicles the rise of Russian oligarchs in the chaotic post-Soviet era.
  • E. Saison
    Saison is a river in the French Basque Country, known as a tributary of the Gave d'Oloron in southwestern France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Russian Seasons
Target entity description: Russian Seasons is a contemporary ballet choreographed by Alexei Ratmansky that blends classical technique with modern sensibilities and Russian folk influences.
  • A. Russian Seasons in Paris
    Russian Seasons in Paris was a landmark series of early 20th-century ballet and opera productions that introduced Russian art, music, and dance to Western Europe and revolutionized modern performance.
  • B. Different Seasons
    Different Seasons is a 1982 collection of four novellas by Stephen King, notable for including the stories that inspired the films The Shawshank Redemption, Stand by Me, and Apt Pupil.
  • C. Love and the Russian Winter
    Love and the Russian Winter is a studio album by British soul and pop band Simply Red, showcasing their blend of blue-eyed soul, pop, and contemporary production.
  • D. Once Upon a Time in Russia
    Once Upon a Time in Russia is a nonfiction book by Ben Mezrich that chronicles the rise of Russian oligarchs in the chaotic post-Soviet era.
  • E. Saison
    Saison is a river in the French Basque Country, known as a tributary of the Gave d'Oloron in southwestern France.
  • F. None of above. chosen

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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5914a3f88190b797188eba34edd8 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.