### 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
params.update(dag.params)
        if task.params:
            params.update(task.params)
        if conf.getboolean('core', 'dag_run_conf_overrides_params'):
            self.overwrite_params_with_dag_run_conf(params=params, dag_run=dag_run)
        interval_start = dag.get_run_data_interval(dag_run).start
        ds = interval_start.strftime('%Y-%m-%d')
        ds_nodash = ds.replace('-', '')
        ts = interval_start.isoformat()
        ts_nodash = interval_start.strftime('%Y%m%dT%H%M%S')
        ts_nodash_with_tz = ts.replace('-', '').replace(':', '')
        @cache  
        def _get_previous_dagrun_success() -> Optional["DagRun"]:
            return self.get_previous_dagrun(state=State.SUCCESS, session=session)
        def _get_previous_dagrun_data_interval_success() -> Optional["DataInterval"]:
            dagrun = _get_previous_dagrun_success()
            if dagrun is None:
                return None
            return dag.get_run_data_interval(dagrun)
        def get_prev_data_interval_start_success() -> Optional[pendulum.DateTime]:
            data_interval = _get_previous_dagrun_data_interval_success()
            if data_interval is None:
                return None
            return data_interval.start
        def get_prev_data_interval_end_success() -> Optional[pendulum.DateTime]:
            data_interval = _get_previous_dagrun_data_interval_success()
            if data_interval is None:
                return None
            return data_interval.end
        def get_prev_start_date_success() -> Optional[pendulum.DateTime]: