Isolated input frames strip out conversational context and conversational steering, querying the model solely via structured metaprompt templates with strict output constraints to measure pure associative bias. By providing bare entity-to-brand (E2B) or brand-to-entity (B2E) prompts with explicit instructions to output raw lists without conversational preamble, the system eliminates leading signals and forces the model to rely entirely on its frozen parametric weights.