92% in general would actually be really good for word sense disambiguation, but..."Apple" is a really easy choice. I'd like to see how he does with a trickier word like "right" (as in civil, vs. not wrong, vs. not left).
That said, text-to-speech is a system where it's important to do disambiguation of a particular set of words. For instead,
"I read the news today, oh boy", "read" sounds like "red"
"I read the news every day", "read" sounds like "reed"
You need to be able to disambiguate the word sense to be able to correctly read the world "read". There are maybe 20 or so very common words that are like this, so a modest amount of work in this area would be part of a good TTS system.