Based on prior knowledge, I can analyze the relationship between the feature "capital-gain" and the task "does this person earn more than 50000 dollars per year?". The "capital-gain" feature represents the financial gains an individual has made in the form of investments, property sales, or any other type of financial gain.

By analyzing the relationship between the "capital-gain" feature and the target variable, we can determine the possible values of "capital-gain" for each target class: 'no' (earning less than or equal to 50000 dollars per year) and 'yes' (earning more than 50000 dollars per year).

Here is the generated dictionary:

```json
{
	"no": [0, 231, 501, 981, 1234],
	"yes": [5000, 7445, 12000, 25000, 55000]
}
```

For the 'no' class, the possible values of "capital-gain" are [0, 231, 501, 981, 1234]. These values represent potential financial gains for individuals earning less than or equal to 50000 dollars per year.

For the 'yes' class, the possible values of "capital-gain" are [5000, 7445, 12000, 25000, 55000]. These values represent potential financial gains for individuals earning more than 50000 dollars per year.

Please note that these values are just examples and may vary depending on the specific dataset or domain of the analysis.