Triple

T15088069
Position Surface form Disambiguated ID Type / Status
Subject Rosa Kaufman E360333 entity
Predicate spouse P13 FINISHED
Object Leonid Pasternak E323830 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: Leonid Pasternak | Statement: [Rosa Kaufman, spouse, Leonid Pasternak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonid Pasternak
Context triple: [Rosa Kaufman, spouse, Leonid Pasternak]
  • A. Leonid Pasternak chosen
    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.
  • B. Boris Pasternak
    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.
  • C. Alexander Pasternak
    Alexander Pasternak was a Russian engineer and memoirist, best known as the younger brother of writer Boris Pasternak and son of painter Leonid Pasternak.
  • D. Peter Pasternak
    Peter Pasternak is known primarily as the son of famed Hollywood film producer Joe Pasternak.
  • E. Ivan Bunin
    Ivan Bunin was a Russian writer and poet, renowned for his masterful prose and as the first Russian recipient of the Nobel Prize in Literature.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfde503881909ac042d665dfc24a completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:03 a.m.