Triple

T6725190
Position Surface form Disambiguated ID Type / Status
Subject Anna Grigoryevna Dostoevskaya E153498 entity
Predicate familyName P18 FINISHED
Object Dostoevskaya
Dostoevskaya is a Russian surname most famously borne by Anna Grigoryevna Dostoevskaya, the wife and stenographer of novelist Fyodor Dostoevsky.
E613657 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: Dostoevskaya | Statement: [Anna Grigoryevna Dostoevskaya, familyName, Dostoevskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dostoevskaya
Context triple: [Anna Grigoryevna Dostoevskaya, familyName, Dostoevskaya]
  • A. Chekhovskaya
    Chekhovskaya is a Moscow Metro station located in the city center, known for its deep underground construction and convenient transfers to other central lines.
  • B. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • C. Tolstaya
    Tolstaya is a Russian noble family name most famously borne by Sophia Tolstaya, the wife and muse of writer Leo Tolstoy.
  • D. Miloslavskaya
    Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
  • E. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • 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: Dostoevskaya
Triple: [Anna Grigoryevna Dostoevskaya, familyName, Dostoevskaya]
Generated description
Dostoevskaya is a Russian surname most famously borne by Anna Grigoryevna Dostoevskaya, the wife and stenographer of novelist Fyodor Dostoevsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dostoevskaya
Target entity description: Dostoevskaya is a Russian surname most famously borne by Anna Grigoryevna Dostoevskaya, the wife and stenographer of novelist Fyodor Dostoevsky.
  • A. Chekhovskaya
    Chekhovskaya is a Moscow Metro station located in the city center, known for its deep underground construction and convenient transfers to other central lines.
  • B. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • C. Tolstaya
    Tolstaya is a Russian noble family name most famously borne by Sophia Tolstaya, the wife and muse of writer Leo Tolstoy.
  • D. Miloslavskaya
    Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
  • E. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d14fb1a8819083287ca8bb576bba completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a34e248190ba9d73437b19a96d completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c703ad7e0c81908da32c96806f3b07 completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7042f23408190b06faafcb3251276 completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 2:08 p.m.