### 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
done, fail = False, False
        run_ti_and_assert(date1, date1, date1, 0, State.UP_FOR_RESCHEDULE, 0, 1)
        done, fail = False, False
        run_ti_and_assert(date2, date1, date2, 60, State.UP_FOR_RESCHEDULE, 0, 2)
        done, fail = False, False
        run_ti_and_assert(date3, date1, date3, 120, State.UP_FOR_RESCHEDULE, 0, 3)
        done, fail = True, False
        run_ti_and_assert(date4, date1, date4, 180, State.SUCCESS, 1, 0)
        
        dag.clear()
        ti.refresh_from_db()
        assert ti.state == State.NONE
        assert ti._try_number == 1
        
        
        
        done, fail = False, False
        run_ti_and_assert(date1, date1, date1, 0, State.UP_FOR_RESCHEDULE, 1, 1)
        done, fail = False, True
        run_ti_and_assert(date2, date1, date2, 60, State.UP_FOR_RETRY, 2, 0)
        done, fail = False, False
        run_ti_and_assert(date3, date3, date3, 0, State.UP_FOR_RESCHEDULE, 2, 1)
        done, fail = True, False
        run_ti_and_assert(date4, date3, date4, 60, State.SUCCESS, 3, 0)
    @pytest.mark.usefixtures('test_pool')
    def test_reschedule_handling_clear_reschedules(self, dag_maker):