Triple

T5854297
Position Surface form Disambiguated ID Type / Status
Subject James Fox E130111 entity
Predicate notableWork P4 FINISHED
Object Anna 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: Anna Karenina | Statement: [James Fox, notableWork, Anna Karenina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Karenina
Context triple: [James Fox, notableWork, 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 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.
  • D. 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.
  • E. 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.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1bc58d081908568294278cbf3a9 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.