Based on prior knowledge, education level can be a good predictor of earning potential. Generally, individuals with higher education levels tend to earn more than those with lower levels of education. Therefore, it is likely that individuals with higher education levels will have a higher likelihood of earning more than 50000 dollars per year.

To generate the dictionary, we need to analyze the relationship between education and the target variable "Does this person earn more than 50000 dollars per year?". We can start by examining the distribution of education levels for each target class.

Here is the generated dictionary:

```json
{
    "no": ["11th", "HS-grad", "10th", "7th-8th", "9th", "12th", "1st-4th", "Preschool"],
    "yes": ["Assoc-acdm", "Some-college", "Prof-school", "Bachelors", "Masters", "Doctorate", "5th-6th", "Assoc-voc"]
}
```

The "no" class includes individuals with lower education levels such as 11th grade, high school graduates, 10th grade, etc. They are less likely to earn more than 50000 dollars per year. On the other hand, the "yes" class comprises individuals with higher education levels such as associate degrees, some college education, professional schools, bachelors, masters, doctorate, 5th-6th grade, and associate-vocational education. They are more likely to earn more than 50000 dollars per year.