Triple

T4274267
Position Surface form Disambiguated ID Type / Status
Subject Praskovia Saltykova E97009 entity
Predicate familyName P18 FINISHED
Object Saltykova
Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
 E426573 NE FINISHED

How this triple was built (4 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: [Praskovia Saltykova, familyName, Saltykova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saltykova
Context triple: [Praskovia Saltykova, familyName, Saltykova]
  • A. 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.
  • B. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • C. Shkrebneva
    Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Sokolovskaya
    Sokolovskaya is a Russian-language surname of Slavic origin, borne by various individuals from Russian-speaking regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saltykova
Triple: [Praskovia Saltykova, familyName, Saltykova]
Generated description
Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saltykova
Target entity description: Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • A. 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.
  • B. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • C. Shkrebneva
    Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Sokolovskaya
    Sokolovskaya is a Russian-language surname of Slavic origin, borne by various individuals from Russian-speaking regions.
  • F. None of above. chosen

Provenance (5 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7ace6c881908e1fbde95a2a3c04 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b95083088190b0c993fa2fbc954c completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5b9b8afcc8190822cfd560d064590 completed March 14, 2026, 7:40 p.m.
Created at: March 12, 2026, 11:07 p.m.