Triple

T22514260
Position Surface form Disambiguated ID Type / Status
Subject Wild Berries E556600 entity
Predicate author P4 FINISHED
Object Yevgeny Yevtushenko NE NERFINISHED

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: Yevgeny Yevtushenko | Statement: [Wild Berries, author, Yevgeny Yevtushenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yevgeny Yevtushenko
Context triple: [Wild Berries, author, Yevgeny Yevtushenko]
  • A. Yevgeny Yevtushenko chosen
    Yevgeny Yevtushenko was a prominent Russian poet and public figure known for his outspoken, socially engaged verse during the Khrushchev Thaw and beyond.
  • B. Sergei Yevtushenko
    Sergei Yevtushenko is a composer best known for his film scores, including the music for the historical drama "The Last Station."
  • C. Andrei Voznesensky
    Andrei Voznesensky was a prominent Soviet poet known for his innovative, experimental verse and his role as a leading voice of the post-Stalin literary generation.
  • D. Nikolai Voznesensky
    Nikolai Voznesensky was a prominent Soviet economist and statesman who served as Chairman of the State Planning Committee (Gosplan) and was a key figure in wartime economic planning before falling victim to Stalinist purges.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.