If the question is simpler than any reasonable usecase, then it's basically irrelevant.
It's as irrelevant as asking a math genius what's 1+1 and getting answer "a bazillion". Was it wrong - yes. Was everyone's time wasted - also yes.
Openai people know this is something models don't answer right. And they barely care to attempt fixing it - it's basically a joke at this point. But it's irrelevant because nobody pays OpenAI to ask about spelling of words they just typed. If they actually had that need, then "use python" or similar approaches work just fine. The model could be also taught to call a function to get the token-to-spelling mapping it needed.
