I built an entity extraction pipeline to extract key entities using different llms. I then compared the efficency of the llms and collectively came up with a common set of entities extract from all the llms, comparing the efficency of each llm and reprompting the llm incase it missed any entities. Finally, I ran a sentiment anaylsis to compare the news associated with entities and conducted the same process.