Triple

T13714431
Position Surface form Disambiguated ID Type / Status
Subject Eugenia E328856 entity
Predicate hasVariant P455 FINISHED
Object Evgenia
Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
 E1065148 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: Evgenia | Statement: [Eugenia, hasVariant, Evgenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evgenia
Context triple: [Eugenia, hasVariant, Evgenia]
  • A. Yulia
    Yulia is a feminine given name, commonly used in Slavic countries as a form of the name Julia.
  • B. Svetlana
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • C. Irina
    Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
  • D. Yelena
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • E. Anastasia Virganskaya
    Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
  • 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: Evgenia
Triple: [Eugenia, hasVariant, Evgenia]
Generated description
Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evgenia
Target entity description: Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
  • A. Yulia
    Yulia is a feminine given name, commonly used in Slavic countries as a form of the name Julia.
  • B. Svetlana
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • C. Irina
    Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
  • D. Yelena
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • E. Anastasia Virganskaya
    Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0dd20348190adfb1712de06088c completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c18a032481909fc1e97883062170 completed May 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69f7c21231f48190ae6e2bdb2bbc0afd completed May 3, 2026, 9:45 p.m.
Created at: April 9, 2026, 9:54 p.m.