Triple

T20752354
Position Surface form Disambiguated ID Type / Status
Subject Anastasia E510756 entity
Predicate hasVariant P455 FINISHED
Object Anastasiia
Anastasiia is a feminine given name, commonly used in Slavic countries, that is a variant spelling of Anastasia.
 E1448377 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: Anastasiia | Statement: [Anastasia, hasVariant, Anastasiia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anastasiia
Context triple: [Anastasia, hasVariant, Anastasiia]
  • A. Ksenia
    Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
  • B. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • C. Stasya
    Stasya is a diminutive or affectionate Russian nickname commonly used for the female given name Anastasia.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • 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: Anastasiia
Triple: [Anastasia, hasVariant, Anastasiia]
Generated description
Anastasiia is a feminine given name, commonly used in Slavic countries, that is a variant spelling of Anastasia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anastasiia
Target entity description: Anastasiia is a feminine given name, commonly used in Slavic countries, that is a variant spelling of Anastasia.
  • A. Ksenia
    Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
  • B. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • C. Stasya chosen
    Stasya is a diminutive or affectionate Russian nickname commonly used for the female given name Anastasia.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • F. None of above.

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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22be6588190b137193cb3184fc0 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef82cb788190b8b4a7cf71265ba3 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f1c8a1b08190b8d0f3e84a195ef5 completed May 16, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a08f22a69348190869d69ec6144f85e completed May 16, 2026, 10:39 p.m.
Created at: April 16, 2026, 12:34 p.m.