Based on prior knowledge, sex can be a relevant factor in determining the presence of heart disease. It is known that certain heart conditions may be more prevalent in one gender compared to the other. 

To analyze the relationship between sex and the presence of heart disease, we can look at historical data or medical studies that provide information on this relationship. By examining the data, we can identify any patterns or trends that may exist between the two variables.

Once we have conducted the analysis, we can create the required dictionary:

```json
{
	"no": ["M", "F"],
	"yes": ["M", "F"]
}
```

In this case, both the "no" and "yes" target classes include both male (M) and female (F) patients. It means that the sex of the patient does not seem to have a strong relationship with the presence of heart disease.