Triple

T9113371
Position Surface form Disambiguated ID Type / Status
Subject Holliday Grainger E218659 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: [Holliday Grainger, notableWork, Anna Karenina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Karenina
Context triple: [Holliday Grainger, 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.