Triple

T13361376
Position Surface form Disambiguated ID Type / Status
Subject Safe Conduct E318826 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: [Safe Conduct, author, Boris Pasternak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Pasternak
Context triple: [Safe Conduct, 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. Peter Pasternak
    Peter Pasternak is known primarily as the son of famed Hollywood film producer Joe Pasternak.
  • D. Yuri Nagibin
    Yuri Nagibin was a prominent Soviet Russian writer and screenwriter known for his short stories and film scripts depicting wartime and postwar life.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da6289edf4819099b21cfbb668e923 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad2c4dc819083d23448d21bb0f3 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:32 p.m.