Triple

T17516164
Position Surface form Disambiguated ID Type / Status
Subject Darya Saltykova E426573 entity
Predicate familyName P18 FINISHED
Object Saltykova 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: Saltykova | Statement: [Darya Saltykova, familyName, Saltykova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltykova
Context triple: [Darya Saltykova, familyName, Saltykova]
  • A. Saltykova chosen
    Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • B. Sokolova
    Sokolova is a common Slavic feminine surname, especially prevalent in Russian-speaking countries.
  • C. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • D. Orlová
    Orlová is a town in the Moravian-Silesian Region of the Czech Republic, historically associated with coal mining and heavy industry.
  • E. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.