Yevgeniya Makhankova
E747534
Yevgeniya Makhankova is a Soviet film editor best known for her work on the classic 1977 romantic comedy "Office Romance."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yevgeniya Makhankova canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8625077 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevgeniya Makhankova Context triple: [Office Romance (1977 film), editedBy, Yevgeniya Makhankova]
-
A.
Oksana Astankova
Oksana Astankova is a charismatic and unpredictable Russian assassin, better known as Villanelle, from the television series "Killing Eve."
-
B.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
-
C.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
D.
Anna Kournikova
Anna Kournikova is a former Russian professional tennis player and model who gained worldwide fame in the late 1990s and early 2000s for both her on-court success in doubles and her high-profile media presence.
-
E.
Oksana Markarova
Oksana Markarova is a Ukrainian economist and politician who served as Ukraine’s Minister of Finance and later became the country’s ambassador to the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yevgeniya Makhankova Target entity description: Yevgeniya Makhankova is a Soviet film editor best known for her work on the classic 1977 romantic comedy "Office Romance."
-
A.
Oksana Astankova
Oksana Astankova is a charismatic and unpredictable Russian assassin, better known as Villanelle, from the television series "Killing Eve."
-
B.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
-
C.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
D.
Anna Kournikova
Anna Kournikova is a former Russian professional tennis player and model who gained worldwide fame in the late 1990s and early 2000s for both her on-court success in doubles and her high-profile media presence.
-
E.
Oksana Markarova
Oksana Markarova is a Ukrainian economist and politician who served as Ukraine’s Minister of Finance and later became the country’s ambassador to the United States.
- F. None of above. chosen
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf |
Soviet film editor
ⓘ
film editor ⓘ person ⓘ |
| activeIn | Soviet cinema ⓘ |
| countryOfCitizenship | Soviet Union ⓘ |
| fieldOfWork | film editing ⓘ |
| genreOfNotableWork | romantic comedy film ⓘ |
| industry | film industry ⓘ |
| notableWork |
Office Romance
ⓘ
linked to:
Office Romance (1977 film)
|
| notableWorkReleaseYear | 1977 ⓘ |
| occupation | film editor ⓘ |
| workedOn |
Office Romance
ⓘ
linked to:
Office Romance (1977 film)
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Yevgeniya Makhankova Description of subject: Yevgeniya Makhankova is a Soviet film editor best known for her work on the classic 1977 romantic comedy "Office Romance."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.