Your question is Ambiguous Prompt Results. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you approach a prompt that is consistently returning ambiguous results?
Treat the prompt as a practical machine-learning debugging problem: determine whether ambiguity comes from the data, target definition, model, probability calibration, decision threshold, or evaluation design. Describe and implement a reproducible workflow that identifies ambiguous predictions, compares alternative models, and recommends a production action such as abstention, human review, additional data, or retraining.