Triple

T17839141
Position Surface form Disambiguated ID Type / Status
Subject Marc Chagall E445472 entity
Predicate spouse P13 FINISHED
Object Valentina 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: Valentina Brodsky | Statement: [Marc Chagall, spouse, Valentina Brodsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentina Brodsky
Context triple: [Marc Chagall, spouse, Valentina Brodsky]
  • A. Valentina Brodsky chosen
    Valentina Brodsky was the second wife of renowned modernist painter Marc Chagall, with whom she spent his later years in France.
  • B. Anna Brodsky
    Anna Brodsky is the daughter of Nobel Prize–winning Russian-American poet and essayist Joseph Brodsky.
  • C. Tatiana Groshkova
    Tatiana Groshkova is a former Soviet artistic gymnast known for her powerful tumbling and contributions to the dominant Soviet women’s gymnastics program in the late 1980s.
  • D. Rufina Gurevich
    Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
  • E. Olga Loyev
    Olga Loyev is a person whose specific public background or notable achievements are not clearly documented in widely available sources.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.