Triple

T9248009
Position Surface form Disambiguated ID Type / Status
Subject Vaganova Academy of Russian Ballet E222246 entity
Predicate hasAlumni P51 FINISHED
Object Oxana Skorik
Oxana Skorik is a Russian ballet dancer and principal ballerina renowned for her classical technique and performances with the Mariinsky Ballet.
E854648 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: Oxana Skorik | Statement: [Vaganova Academy of Russian Ballet, hasAlumni, Oxana Skorik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxana Skorik
Context triple: [Vaganova Academy of Russian Ballet, hasAlumni, Oxana Skorik]
  • A. Oksana Kazakova
    Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
  • B. Yelena Yemchuk
    Yelena Yemchuk is a Ukrainian-American photographer, painter, and film director known for her surreal, dreamlike imagery and collaborations with fashion brands and musicians.
  • C. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • D. Natalia Staritskaya
    Natalia Staritskaya was the wife of prominent Russian and Soviet scientist Vladimir Vernadsky, known for her role in his personal and family life.
  • E. Tetiana Zakharova
    Tetiana Zakharova is a former Soviet basketball player who gained prominence as a key member of the USSR women's national team.
  • 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: Oxana Skorik
Triple: [Vaganova Academy of Russian Ballet, hasAlumni, Oxana Skorik]
Generated description
Oxana Skorik is a Russian ballet dancer and principal ballerina renowned for her classical technique and performances with the Mariinsky Ballet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oxana Skorik
Target entity description: Oxana Skorik is a Russian ballet dancer and principal ballerina renowned for her classical technique and performances with the Mariinsky Ballet.
  • A. Oksana Kazakova
    Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
  • B. Yelena Yemchuk
    Yelena Yemchuk is a Ukrainian-American photographer, painter, and film director known for her surreal, dreamlike imagery and collaborations with fashion brands and musicians.
  • C. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • D. Natalia Staritskaya
    Natalia Staritskaya was the wife of prominent Russian and Soviet scientist Vladimir Vernadsky, known for her role in his personal and family life.
  • E. Tetiana Zakharova
    Tetiana Zakharova is a former Soviet basketball player who gained prominence as a key member of the USSR women's national team.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c265fcc819095a67f1270cadeec completed April 9, 2026, 3:25 a.m.
NEDg Description generation batch_69d71f76e3cc8190b21a5fe8825caa2b completed April 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69d7319938ec8190a4a1a5f09832e3e3 completed April 9, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:31 p.m.