Triple

T4836277
Position Surface form Disambiguated ID Type / Status
Subject Anna Arkadyevna Karenina E108066 entity
Predicate familyName P18 FINISHED
Object Karenina E18882 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: Karenina | Statement: [Anna Arkadyevna Karenina, familyName, Karenina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karenina
Context triple: [Anna Arkadyevna Karenina, familyName, 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. 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.
  • C. 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.
  • D. Doctor Zhivago (novel)
    Doctor Zhivago (novel) is Boris Pasternak’s epic 1957 Russian novel that follows the life and loves of a physician-poet amid the turmoil of the Russian Revolution and its aftermath.
  • E. Three Sisters
    Three Sisters is a classic play by Russian dramatist Anton Chekhov that portrays the frustrated lives and unfulfilled dreams of three provincial sisters longing to return to Moscow.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cbbc8a08190b01e4ca717260a20 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.