Of course they can do it, if they are trained with a large number of pairs of data consisting of various texts, and annotations of who does what in that text. Then they will predict correct tokens that talk about who did what.
LLMs are pretty good at preserving who did what when they translate from one language to another. That's because translation examples they are trained on correctly preserve who did what.
LLMs are pretty good at preserving who did what when they translate from one language to another. That's because translation examples they are trained on correctly preserve who did what.