Triple

T3000379
Position Surface form Disambiguated ID Type / Status
Subject Doctor Zhivago E81170 entity
Predicate author P4 FINISHED
Object Boris Pasternak E81170 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: Boris Pasternak | Statement: [Doctor Zhivago, author, Boris Pasternak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Pasternak
Context triple: [Doctor Zhivago, author, Boris Pasternak]
  • A. Boris Pasternak chosen
    Boris Pasternak was a Russian poet and novelist best known internationally for his novel "Doctor Zhivago," which earned him the Nobel Prize in Literature in 1958.
  • B. Leonid Pasternak
    Leonid Pasternak was a Russian Impressionist painter and illustrator known for his portraits and his association with the literary and artistic circles of late Imperial Russia.
  • C. Joe Pasternak
    Joe Pasternak was a prominent Hollywood film producer best known for his successful musicals and light comedies from the 1930s through the 1950s.
  • D. Yevgeny Yevtushenko
    Yevgeny Yevtushenko was a prominent Russian poet and public figure known for his outspoken, socially engaged verse during the Khrushchev Thaw and beyond.
  • E. Sergei Yesenin
    Sergei Yesenin was a renowned early 20th-century Russian lyric poet known for his evocative depictions of rural life and his turbulent personal history.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20342ccf88190880b21f72948a4d3 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 2:59 p.m.