Triple

T8616438
Position Surface form Disambiguated ID Type / Status
Subject Café Sabarsky E204049 entity
Predicate namedAfter P63 FINISHED
Object Serge Sabarsky E229119 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: Serge Sabarsky | Statement: [Café Sabarsky, namedAfter, Serge Sabarsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serge Sabarsky
Context triple: [Café Sabarsky, namedAfter, Serge Sabarsky]
  • A. Serge Sabarsky chosen
    Serge Sabarsky was an Austrian-born art dealer, curator, and collector renowned for his expertise in German and Austrian Expressionist art.
  • B. Sergei Brylin
    Sergei Brylin is a former Russian professional ice hockey forward best known for his long NHL career with the New Jersey Devils, with whom he won three Stanley Cup championships.
  • C. Boris Shcherbina
    Boris Shcherbina was a Soviet politician and deputy chairman of the Council of Ministers best known for overseeing the government’s emergency response to the 1986 Chernobyl nuclear disaster.
  • D. Pavel Shteller
    Pavel Shteller was a Soviet architect best known for designing prominent Stalin-era buildings in Moscow.
  • E. Vladimir Shklyarov
    Vladimir Shklyarov is a renowned Russian ballet dancer and principal artist celebrated for his performances with the Mariinsky Ballet.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4703b57c81909511de72fa5c38d7 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc8b99cc8190b319a435f456ec05 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:25 p.m.