Triple

T18535387
Position Surface form Disambiguated ID Type / Status
Subject Federico Bruni E452951 entity
Predicate nameInRussian P20560 FINISHED
Object Фёдор Антонович Бруни 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: Фёдор Антонович Бруни | Statement: [Federico Bruni, nameInRussian, Фёдор Антонович Бруни]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Фёдор Антонович Бруни
Context triple: [Federico Bruni, nameInRussian, Фёдор Антонович Бруни]
  • A. Fyodor Bruni chosen
    Fyodor Bruni was a 19th-century Russian-Italian painter known for his large-scale historical and religious works that became prominent in major imperial commissions.
  • B. Vasiliy Fet
    Vasiliy Fet is a tough, resourceful exterminator-turned-vampire hunter in the horror television series "The Strain."
  • C. Konstantin Fehrenbach
    Konstantin Fehrenbach was a German Centre Party politician who served as Chancellor of Germany during the early Weimar Republic.
  • D. Vladimir Stasov
    Vladimir Stasov was a prominent 19th-century Russian art and music critic who strongly influenced the development of Russian national culture and supported composers like Mussorgsky and Rimsky-Korsakov.
  • E. Ivan Repnin
    Ivan Repnin was a Russian noble and statesman known for founding the city of Simbirsk in the Russian Empire.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.