Triple

T1738467
Position Surface form Disambiguated ID Type / Status
Subject Ilia Kulik E37973 entity
Predicate familyName P18 FINISHED
Object Kulik
Kulik is a surname most notably associated with Ilia Kulik, the Russian figure skater and 1998 Olympic champion.
 E193432 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: Kulik | Statement: [Ilia Kulik, familyName, Kulik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kulik
Context triple: [Ilia Kulik, familyName, Kulik]
  • A. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Arapova
    Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
  • D. Khokhlova
    Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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: Kulik
Triple: [Ilia Kulik, familyName, Kulik]
Generated description
Kulik is a surname most notably associated with Ilia Kulik, the Russian figure skater and 1998 Olympic champion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kulik
Target entity description: Kulik is a surname most notably associated with Ilia Kulik, the Russian figure skater and 1998 Olympic champion.
  • A. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Arapova
    Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
  • D. Khokhlova
    Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c35aec8190b5c19ace5524173f completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b03303c8190a301dca327bf9f47 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957e9a6c81909d52bf2def797526 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b6c03881909f278594e800c0f5 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.