Triple

T1589080
Position Surface form Disambiguated ID Type / Status
Subject Lyudmila Putina E34136 entity
Predicate familyName P18 FINISHED
Object Shkrebneva
Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
E181069 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: Shkrebneva | Statement: [Lyudmila Putina, familyName, Shkrebneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shkrebneva
Context triple: [Lyudmila Putina, familyName, Shkrebneva]
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. 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.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • E. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • 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: Shkrebneva
Triple: [Lyudmila Putina, familyName, Shkrebneva]
Generated description
Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shkrebneva
Target entity description: Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. 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.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • E. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090e251c81909ebb21a6b6262303 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469eaf588190ac6db1c8fb7fa04e completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad479c0a0c8190b2ccef1bbc7c0b1a completed March 8, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad48642590819082f4102f6b860a65 completed March 8, 2026, 9:59 a.m.
Created at: March 4, 2026, 7:27 p.m.