Triple

T2908450
Position Surface form Disambiguated ID Type / Status
Subject Nadezhda Vasilyeva E63623 entity
Predicate familyName P18 FINISHED
Object Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
E311864 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: Vasilyeva | Statement: [Nadezhda Vasilyeva, familyName, Vasilyeva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasilyeva
Context triple: [Nadezhda Vasilyeva, familyName, Vasilyeva]
  • A. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • B. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • E. Ulitsa Starokachalovskaya
    Ulitsa Starokachalovskaya is a Moscow Metro station serving the Butovskaya Line in the southern part of Moscow.
  • 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: Vasilyeva
Triple: [Nadezhda Vasilyeva, familyName, Vasilyeva]
Generated description
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vasilyeva
Target entity description: Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • A. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • B. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • E. Ulitsa Starokachalovskaya
    Ulitsa Starokachalovskaya is a Moscow Metro station serving the Butovskaya Line in the southern part of Moscow.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d1dcf881909b3ae58d7cdfd9cd completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0865c719c8190aacafe236b02c844 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dcd67c848190b1428a4a7a568ad6 completed March 11, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b0dd3eb5248190aee95803673c75a4 completed March 11, 2026, 3:10 a.m.
Created at: March 6, 2026, 10:11 p.m.