Triple

T1210099
Position Surface form Disambiguated ID Type / Status
Subject Nadezhda Alliluyeva E25978 entity
Predicate givenName P17 FINISHED
Object Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
 E153186 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: Nadezhda | Statement: [Nadezhda Alliluyeva, givenName, Nadezhda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nadezhda
Context triple: [Nadezhda Alliluyeva, givenName, Nadezhda]
  • A. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Varvara
    Varvara is the Slavic form of the female given name Barbara, commonly used in Russian and other Eastern European languages.
  • C. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • D. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • E. Olga
    Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
  • 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: Nadezhda
Triple: [Nadezhda Alliluyeva, givenName, Nadezhda]
Generated description
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nadezhda
Target entity description: Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • A. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Varvara
    Varvara is the Slavic form of the female given name Barbara, commonly used in Russian and other Eastern European languages.
  • C. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • D. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • E. Olga
    Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde4670481908c16a3a8c1a54aad completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6185df88190bc658c948b31e606 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6ea01188190b16a3698aeea2169 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc759809c81908c1ce0523311a7c5 completed March 8, 2026, 12:48 a.m.
Created at: March 1, 2026, 7:46 p.m.