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Disambiguazione nel Prompt
Prompt disambiguation is the technique of explicitly identifying and resolving, before or during the formulation of a request, the points where the prompt's text could be interpreted in multiple different ways by the model, thereby reducing the risk that the response focuses on an interpretation different from the intended one.
The process involves analyzing the prompt for words, references or instructions that admit multiple plausible readings, a pronoun that could refer to several subjects, a technical term with different meanings in different contexts, an instruction that could apply at different levels of the task, and rephrasing those points unambiguously, or having the model state which interpretation it is adopting before proceeding.
This technique is especially relevant in tasks where a misunderstanding would carry a high cost: operational instructions that must be executed exactly, legal or regulatory requests where an ambiguous term can change the meaning of an analysis, or prompts reused at scale where even a small ambiguity can propagate across many outputs.
The concept connects directly to prompt sensitivity, of which disambiguation represents the active countermeasure: while sensitivity describes the problem, disambiguation describes the writing practice that prevents it, identifying and clarifying critical points before they produce divergent responses.
Grace flags the parts of your prompt that could be read in more than one way, so you can make them unambiguous before submitting it in the scenario.
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