Triple

T8271272
Position Surface form Disambiguated ID Type / Status
Subject Kulik E193432 entity
Predicate hasNotableBearer P458 FINISHED
Object Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
E736968 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: Elena Kulik | Statement: [Kulik, hasNotableBearer, Elena Kulik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elena Kulik
Context triple: [Kulik, hasNotableBearer, Elena Kulik]
  • A. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • B. Irina Kulik
    Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
  • C. 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.
  • D. Alexandra Velyaminova
    Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
  • E. Oksana Kazakova
    Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
  • 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: Elena Kulik
Triple: [Kulik, hasNotableBearer, Elena Kulik]
Generated description
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elena Kulik
Target entity description: Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
  • A. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • B. Irina Kulik
    Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
  • C. 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.
  • D. Alexandra Velyaminova
    Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
  • E. Oksana Kazakova
    Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7986f8cc8190a529dda980dd6e98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce392feb048190a2adaee594127b0c completed April 2, 2026, 9:38 a.m.
NEDg Description generation batch_69ce3ad9a3a88190929a6c6ae7ee58cf completed April 2, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ce3cc54d888190ae86b787afc38f7b completed April 2, 2026, 9:54 a.m.
Created at: March 30, 2026, 5:50 p.m.