Asking characteristics about the result cause performance to drop because it's essentially asking the model to model itself implicitly/explicitly.

Also the more "factoids" / clauses needed to answer accurately are inversely proportional to the "correctness" of the final answer (on average, when prompt-fuzzed).

This is all because the more complicated/entropic the prompt/expected answer, the less total/accumulative attention has been spent on it.

  >What is the second character of the result of the prompt "What is the name of the president of the U.S. during the most fatal terror attack on U.S. soil?"