Isn't everything like this? Ask an AI about news and it has to deal with contradictory and poorly labeled accounts of an event. Ask it about mechanics in a game and it has to deal with every version of it, maybe different editions or remakes, etc. What dataset exactly is pure and nicely labeled for correctness? Is it large enough for training?

isn't this why we went to synthetic corpuses anyway