### 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)

tests/models/test_taskinstance.py
'try_number': '1',
                },
                'name': mock.ANY,
                'namespace': 'default',
            },
            'spec': {
                'containers': [
                    {
                        'args': [
                            'airflow',
                            'tasks',
                            'run',
                            'test_render_k8s_pod_yaml',
                            'op1',
                            'test_run_id',
                            '--subdir',
                            __file__,
                        ],
                        'image': ':',
                        'name': 'base',
                        'env': [{'name': 'AIRFLOW_IS_K8S_EXECUTOR_POD', 'value': 'True'}],
                    }
                ]
            },
        }
        assert ti.render_k8s_pod_yaml() == expected_pod_spec
        pod_mutation_hook.assert_called_once_with(mock.ANY)
    @mock.patch.dict(os.environ, {"AIRFLOW_IS_K8S_EXECUTOR_POD": "True"})
    @mock.patch.object(RenderedTaskInstanceFields, 'get_k8s_pod_yaml')
    def test_get_rendered_k8s_spec(self, rtif_get_k8s_pod_yaml, create_task_instance):