Triple

T2496944
Position Surface form Disambiguated ID Type / Status
Subject Natalya Naryshkina E52172 entity
Predicate patronymicName P7966 FINISHED
Object Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
E308279 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: Kirillovna | Statement: [Natalya Naryshkina, patronymicName, Kirillovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirillovna
Context triple: [Natalya Naryshkina, patronymicName, Kirillovna]
  • A. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • C. Alexandrovna
    Alexandrovna is a Russian female patronymic indicating "daughter of Alexander," commonly used in the full names of women in Russian nobility and broader Russian culture.
  • D. Praskovia Saltykova
    Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
  • E. Nina Alexandrovna
    Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
  • 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: Kirillovna
Triple: [Natalya Naryshkina, patronymicName, Kirillovna]
Generated description
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirillovna
Target entity description: Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • A. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • C. Alexandrovna
    Alexandrovna is a Russian female patronymic indicating "daughter of Alexander," commonly used in the full names of women in Russian nobility and broader Russian culture.
  • D. Praskovia Saltykova
    Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
  • E. Nina Alexandrovna
    Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ad2f8c81908853e97d75081e84 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03104c21c81909fede29ce1e76d88 completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b031b0606c81908ff879fd8464c7d4 completed March 10, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b039a5d7748190a44b878a5be62f54 completed March 10, 2026, 3:32 p.m.
Created at: March 6, 2026, 9:46 p.m.