### Apache Airflow version

main (development)

### Operating System

macOS 11.5.2

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### What happened

If your first try fails and you have retries enabled, the subsequent tries skip right to the final `next_method(**next_kwargs)` instead of starting with `execute` again.

### What you expected to happen

Like we reset things like start date, we should wipe `next_method` and `next_kwargs` so we can retry the task from the beginning.

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/models/taskinstance.py
self, task, execution_date: Optional[datetime] = None, run_id: str = None, state: Optional[str] = None
    ):
        super().__init__()
        self.dag_id = task.dag_id
        self.task_id = task.task_id
        self.refresh_from_task(task)
        self._log = logging.getLogger("airflow.task")
        if run_id is None and execution_date is not None:
            from airflow.models.dagrun import DagRun  
            warnings.warn(
                "Passing an execution_date to `TaskInstance()` is deprecated in favour of passing a run_id",
                DeprecationWarning,
                
                stacklevel=4,
            )
            
            if execution_date and not timezone.is_localized(execution_date):
                self.log.warning(
                    "execution date %s has no timezone information. Using default from dag or system",
                    execution_date,
                )
                if self.task.has_dag():
                    execution_date = timezone.make_aware(execution_date, self.task.dag.timezone)
                else: