Entity disambiguation is an important step in the process of performing sentiment analysis on financial news. In many cases, financial entities have multiple names, such as different brand names, ticker symbols, legal names, or localized names used in specific regions. This is where name disambiguation comes into play - ensuring that all the different names used for a particular entity are properly recognized and attributed to their correct entity. Accurate name recognition helps in extracting relevant information from news articles and enhancing the overall quality of the sentiment analysis output. It allows for a more comprehensive understanding of public opinion on specific companies or products, which can be helpful in making informed investment decisions or tracking market sentiments.