```json
{
	"yes": ["yes"],
	"no": ["none"]
}
```

Based on the description of the feature "own_telephone", which is a categorical variable with categories 'yes' and 'none', we can analyze how it relates to the task of whether the person receives a credit.

From the available information, it appears that only individuals who have a telephone ('own_telephone' value as 'yes') receive a credit ('yes' in the target class). On the other hand, individuals who don't have a telephone ('own_telephone' value as 'none') are not eligible for a credit ('no' in the target class).

Therefore, the dictionary shows that the possible values of 'own_telephone' for the target class 'yes' are ['yes'], indicating that having a telephone is a requirement for receiving credit. Similarly, the possible value of 'own_telephone' for the target class 'no' is ['none'], indicating that not having a telephone leads to not receiving credit.