### 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
self, expected_query_count, mark_success, create_task_instance, session=None
    ):
        ti = create_task_instance(session=session, state=State.RUNNING)
        assert ti.dag_run
        
        
        expected_query_count_based_on_db = (
            expected_query_count + 1
            if session.bind.dialect.name == "mssql" and expected_query_count > 0 and not mark_success
            else expected_query_count
        )
        session.flush()
        with assert_queries_count(expected_query_count_based_on_db):
            ti._run_raw_task(mark_success=mark_success, session=session)
    @provide_session
    def test_execute_queries_count_store_serialized(self, create_task_instance, session=None):
        ti = create_task_instance(session=session, state=State.RUNNING)
        assert ti.dag_run
        
        
        expected_query_count_based_on_db = 5
        session.flush()
        with assert_queries_count(expected_query_count_based_on_db):
            ti._run_raw_task(session)
@pytest.mark.parametrize("mode", ["poke", "reschedule"])
@pytest.mark.parametrize("retries", [0, 1])
def test_sensor_timeout(mode, retries, dag_maker):