Triple

T22975741
Position Surface form Disambiguated ID Type / Status
Subject Anna Karenina (2012 film) E571310 entity
Predicate basedOn P98 FINISHED
Object Anna Karenina 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: Anna Karenina | Statement: [Anna Karenina (2012 film), basedOn, Anna Karenina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Karenina
Context triple: [Anna Karenina (2012 film), basedOn, Anna Karenina]
  • A. Anna Karenina chosen
    Anna Karenina is a classic 19th-century Russian novel that explores themes of love, infidelity, and social hypocrisy through the tragic life of its aristocratic heroine.
  • B. Fathers and Sons
    Fathers and Sons is an 1862 novel by Ivan Turgenev that explores generational conflict and the rise of nihilism in 19th-century Russia.
  • C. The Lady with the Carriage
    The Lady with the Carriage is a celebrated painting by Catalan modernist artist Ramon Casas, exemplifying his elegant portrait style and fin-de-siècle bourgeois themes.
  • D. The Brothers Karamazov
    The Brothers Karamazov is a philosophical novel exploring faith, morality, and free will through the turbulent lives of three brothers in 19th-century Russia.
  • E. Doctor Zhivago
    Doctor Zhivago is a classic 1965 epic romantic drama film set during the Russian Revolution, renowned for its sweeping cinematography, tragic love story, and Omar Sharif’s iconic lead performance.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.