I would think it wouldn't get things right. But it should get things less incorrect.

The ingredients are a set of items. Preparation is a sequence of steps with the ingredients as input. A neural network taught on lots of recipes should be able to come with sequences that actually make sense given the ingredients.

The choice of ingredients is also a function of the desired preparation / serving. This will probably generate more realistic recipes but still nothing usable.

That would be accounted for though. If say the standard prep for chicken involves butter, all the training recipes would have butter with chicken.