Triple

T8271267
Position Surface form Disambiguated ID Type / Status
Subject Kulik E193432 entity
Predicate hasNotableBearer P458 FINISHED
Object Natalia Kulik
Natalia Kulik is a notable individual recognized for achievements significant enough to be associated with the surname Kulik.
E731124 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: Natalia Kulik | Statement: [Kulik, hasNotableBearer, Natalia Kulik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalia Kulik
Context triple: [Kulik, hasNotableBearer, Natalia Kulik]
  • A. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • B. 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.
  • C. Alexandra Velyaminova
    Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
  • D. Viktoria Timofeyeva
    Viktoria Timofeyeva is a Russian artist known for her collaborative work and partnership with her late husband, muralist Dmitri Vrubel, including contributions to politically charged public art.
  • E. Svetlana Khodchenkova
    Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
  • 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: Natalia Kulik
Triple: [Kulik, hasNotableBearer, Natalia Kulik]
Generated description
Natalia Kulik is a notable individual recognized for achievements significant enough to be associated with the surname Kulik.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natalia Kulik
Target entity description: Natalia Kulik is a notable individual recognized for achievements significant enough to be associated with the surname Kulik.
  • A. Daria Kulik
    Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
  • B. 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.
  • C. Alexandra Velyaminova
    Alexandra Velyaminova was a Russian noblewoman of the 14th century, best known as the mother of Grand Prince Dmitry Donskoy of Moscow.
  • D. Viktoria Timofeyeva
    Viktoria Timofeyeva is a Russian artist known for her collaborative work and partnership with her late husband, muralist Dmitri Vrubel, including contributions to politically charged public art.
  • E. Svetlana Khodchenkova
    Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
  • 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_69ce025db14881909124c1398d5f7d4a completed April 2, 2026, 5:45 a.m.
NEDg Description generation batch_69ce077d8af0819082a7ea67a2c11ddd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce082078108190867044f45bc0a806 completed April 2, 2026, 6:09 a.m.
Created at: March 30, 2026, 5:50 p.m.