Triple

T2918345
Position Surface form Disambiguated ID Type / Status
Subject Greta Garbo E78659 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: [Greta Garbo, notableWork, Anna Karenina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Karenina
Context triple: [Greta Garbo, 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. 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.
  • C. 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.
  • 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. War and Peace
    "War and Peace" is a 1956 epic historical drama film adaptation of Leo Tolstoy's novel, featuring Audrey Hepburn in a leading role.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a41b4c81909d8ace8ab270ed3c completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562c5b5081908026b3f590b03aca completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:54 p.m.