Triple

T15506407
Position Surface form Disambiguated ID Type / Status
Subject Peredelkino E379092 entity
Predicate hasResident P6481 FINISHED
Object Bulat Okudzhava E868797 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: Bulat Okudzhava | Statement: [Peredelkino, hasResident, Bulat Okudzhava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulat Okudzhava
Context triple: [Peredelkino, hasResident, Bulat Okudzhava]
  • A. Bulat Okudzhava chosen
    Bulat Okudzhava was a prominent Soviet-era Russian poet, novelist, and bard singer-songwriter, regarded as one of the founders of the Russian author’s song genre.
  • B. 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.
  • C. 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.
  • 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. 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.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.