### Apache Airflow version

main (development)

### What happened

Changing a non-mapped task with task instance note and task reschedule to a mapped task crashes scheduler when the task is cleared for rerun. Related commit where a similar fix was done.

commit a770edfac493f3972c10a43e45bcd0e7cfaea65f
Author: Ephraim Anierobi <splendidzigy24@gmail.com>
Date:   Mon Feb 20 20:45:25 2023 +0100

    Fix Scheduler crash when clear a previous run of a normal task that is now a mapped task (#29645)
    
    The fix was to clear the db references of the taskinstances in XCom, RenderedTaskInstanceFields
    and TaskFail. That way, we are able to run the mapped tasks

### What you think should happen instead

_No response_

### How to reproduce

1. Create below dag file with BashOperator non-mapped.
2. Schedule a dag run and wait for it to finish.
3. Add a task instance note to bash operator.
4. Change t1 to ` t1 = BashOperator.partial(task_id="bash").expand(bash_command=command)` and return `["echo hello"]` from get_command.
5. Restart the scheduler and clear the task. 
6. scheduler crashes on trying to use map_index though foreign key reference exists to task instance note and task reschedule.

```python
import datetime

from airflow.operators.bash import BashOperator
from airflow import DAG
from airflow.decorators import task

with DAG(dag_id="bash_simple", start_date=datetime.datetime(2022, 1, 1), schedule=None, catchup=False) as dag:

    @task
    def get_command(arg1, arg2):
        return "echo hello"

    command = get_command(1, 1)
    t1 = BashOperator(task_id="bash", bash_command=command)


if __name__ == '__main__':
    dag.test()

```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_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)

return [{"arg1": "a"}, {"arg1": "b", "arg2": "c"}]
            push_task = push()
            ClassicOperator.partial(task_id="classic", arg2="d").expand_kwargs(push_task, strict=strict)
            @dag.task(task_id="taskflow")
            def pull(arg1, arg2):
                return (arg1, arg2)
            pull.partial(arg2="d").expand_kwargs(push_task, strict=strict)
        dr = dag_maker.create_dagrun()
        next(ti for ti in dr.task_instances if ti.task_id == "push").run()
        decision = dr.task_instance_scheduling_decisions(session=session)
        tis = {(ti.task_id, ti.map_index, ti.state): ti for ti in decision.schedulable_tis}
        assert sorted(tis) == [
            ("classic", 0, None),
            ("classic", 1, None),
            ("taskflow", 0, None),
            ("taskflow", 1, None),
        ]
        ti = tis[((downstream, 0, None))]
        ti.run()
        ti.xcom_pull(task_ids=downstream, map_indexes=0, session=session) == ["a", "d"]
        ti = tis[((downstream, 1, None))]
        if strict:
            with pytest.raises(TypeError) as ctx:
                ti.run()
            assert str(ctx.value) == error_message
        else:
            ti.run()
            ti.xcom_pull(task_ids=downstream, map_indexes=1, session=session) == ["b", "c"]
    def test_error_if_upstream_does_not_push(self, dag_maker):