Triple

T21008377
Position Surface form Disambiguated ID Type / Status
Subject Maria Sozzani E517476 entity
Predicate spouse P13 FINISHED
Object Joseph Brodsky 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: Joseph Brodsky | Statement: [Maria Sozzani, spouse, Joseph Brodsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Brodsky
Context triple: [Maria Sozzani, spouse, Joseph Brodsky]
  • A. Joseph Brodsky chosen
    Joseph Brodsky was a Russian-American poet and essayist, Nobel laureate, and former Soviet dissident whose work blends metaphysical reflection, formal rigor, and exile experience.
  • B. 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.
  • C. 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.
  • D. Sergei Yevtushenko
    Sergei Yevtushenko is a composer best known for his film scores, including the music for the historical drama "The Last Station."
  • E. 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.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3dcb5081909b06d6db10fefba6 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.