Triple

T10997230
Position Surface form Disambiguated ID Type / Status
Subject Olga Kurylenko E259906 entity
Predicate familyName P18 FINISHED
Object Kurylenko
Kurylenko is a Ukrainian-origin surname most notably borne by actress and model Olga Kurylenko.
 E898797 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: Kurylenko | Statement: [Olga Kurylenko, familyName, Kurylenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kurylenko
Context triple: [Olga Kurylenko, familyName, Kurylenko]
  • A. Kostenko
    Kostenko is a Slavic surname of Ukrainian and Russian origin borne by various notable figures in politics, military, arts, and sports.
  • B. Roman Kulik
    Roman Kulik is an individual notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about him are not clearly established.
  • C. 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.
  • D. Sergiy
    Sergiy is a given name, commonly used as a Ukrainian or Eastern European variant of the name Sergei.
  • E. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • 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: Kurylenko
Triple: [Olga Kurylenko, familyName, Kurylenko]
Generated description
Kurylenko is a Ukrainian-origin surname most notably borne by actress and model Olga Kurylenko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kurylenko
Target entity description: Kurylenko is a Ukrainian-origin surname most notably borne by actress and model Olga Kurylenko.
  • A. Kostenko
    Kostenko is a Slavic surname of Ukrainian and Russian origin borne by various notable figures in politics, military, arts, and sports.
  • B. Roman Kulik
    Roman Kulik is an individual notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about him are not clearly established.
  • C. 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.
  • D. Sergiy
    Sergiy is a given name, commonly used as a Ukrainian or Eastern European variant of the name Sergei.
  • E. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3452420c08190b9c91a9c8a807670 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e3556fd3548190a33f04604be947cf completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.