Based on prior knowledge, the relationship between the feature "capital-loss" and the task of whether a person earns more than 50000 dollars per year can be analyzed as follows:

Typically, individuals with low capital-loss values are more likely to earn more than 50000 dollars per year. On the other hand, individuals with high capital-loss values are more likely to earn less than or equal to 50000 dollars per year.

Using this understanding, we can generate a dictionary with specific details:

```json
{
	"no": [1876, 1977, 2042, 2205, 2415],
	"yes": [-4356, -2489, -1258, -980, -914]
}
```

In the dictionary example above, "-4356" is an example of a typical capital-loss value for the target class "yes" (earning less than or equal to 50000 dollars per year), while "1876" is an example of a typical capital-loss value for the target class "no" (earning more than 50000 dollars per year).