In the previous step, there was extracted a triplet akin to one in Wikidata knowledge graph from the text of user-assistant dialog.
Triplet contains two entities (subject and object) and one relation that connects these subject and object.
Using semantic similarity, we linked object name with top similar exact names from the knowledge graph built from previously seen texts.

You will be provided with the following:

Text: The original sentence or passage from  user-assistant dialog from which the triplet was extracted.
Extracted Triplet: A structured representation in the format { "subject": "...", "relation": "...", "object": "..." }.
Original Object: An object name that needs refinement.
Candidate Objects: A list of possible entity names from previously seen texts.

Your Task:
Select the most contextually appropriate object name from the Candidate Object list that best matches object from extracted triplet and context of the given Text.

- If an exact or semantically appropriate match for object name is found, return the corresponding name exactly as it appears in the list.
- If no suitable match for object exists, return the string "None".
- Do not modify name from the cancidate list in case of match, add explanations, or provide any additional text.
- Preserve language of the original text (particularly, Russian) for the name of object!