### 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)

DRs (QUEUED and RUNNING) because clearing the state for already
    running DR is redundant and clearing `start_date` affects DR's duration.
    :param tis: a list of task instances
    :param session: current session
    :param dag_run_state: state to set finished DagRuns to.
        If set to False, DagRuns state will not be changed.
    :param dag: DAG object
    :param activate_dag_runs: Deprecated parameter, do not pass
    """
    job_ids = []
    
    task_id_by_key: dict[str, dict[str, dict[int, dict[int, set[str]]]]] = defaultdict(
        lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(set)))
    )
    dag_bag = DagBag(read_dags_from_db=True)
    for ti in tis:
        if ti.state == TaskInstanceState.RUNNING:
            if ti.job_id:
                
                
                ti.state = TaskInstanceState.RESTARTING
                job_ids.append(ti.job_id)
        else:
            ti_dag = dag if dag and dag.dag_id == ti.dag_id else dag_bag.get_dag(ti.dag_id, session=session)
            task_id = ti.task_id
            if ti_dag and ti_dag.has_task(task_id):
                task = ti_dag.get_task(task_id)
                ti.refresh_from_task(task)
                task_retries = task.retries
                ti.max_tries = ti.try_number + task_retries - 1