Based on prior knowledge, we can analyze the relationship between the feature "GB" (Presence of an essential hypertension) and the target variable "Chronic Heart Failure" in the myocardial infarction complications data.

First, let's consider the possible values of the feature "GB": ['there is no essential hypertension', 'Stage 2', 'Stage 3', 'Stage 1'].

To determine if the patient has chronic heart failure, we need to analyze how the feature "GB" relates to this condition. The feature "GB" is related to the presence of essential hypertension, which is a risk factor for chronic heart failure.

Based on the available information, we cannot directly conclude whether the patient has chronic heart failure or not solely based on the feature "GB". However, we can make some assumptions based on the severity of the stages of essential hypertension mentioned in the feature.

Analyzing the stages of essential hypertension, we can hypothesize that patients with higher stage hypertension (such as Stage 2 or Stage 3) might have a higher likelihood of developing chronic heart failure. On the other hand, patients with no essential hypertension or lower stage hypertension (such as Stage 1) might have a lower likelihood of developing chronic heart failure.

To summarize the relationship between the feature "GB" and the task of identifying chronic heart failure, we can create a dictionary as follows:

```json
{
	"no": ["there is no essential hypertension", "Stage 1"],
	"yes": ["Stage 2", "Stage 3"]
}
```

Please note that since the task requires a "yes" or "no" answer, we only include the relevant values of the feature "GB" in the dictionary, considering the assumption that higher stage hypertension is associated with chronic heart failure.