[tomohelix]

I think those factors you mentioned are important but ultimately additional context to the main data, i.e. "rose smell". They certainly can add additional meanings and alter how the main data is processed, but they are just "context" added on, just like how the word "lie" is very context dependent and by itself it is nigh impossible to know what it means. Is it a verb? noun? Which verb, lying to someone or lie on a couch?

But an LLM has no problem at all deciphering and processing and most importantly, responding meaningfully to all the ways we can use or encounter the word "lie". I contend that if a model large enough is trained on enough data, the concepts will automatically blend and explain each other sufficiently, or at least enough to cover your example and those similar to it.