### Apache Airflow version

main (development)

### What happened

When creating a DAG with Task Groups and a Mapped Operator, if the Task Group is passed as argument to Mapped Operator's `partial` method it is ignored and the operator is not added to the group.

### What you think should happen instead

The Mapped Operator should be added to the Task Group passed as an argument.

### How to reproduce

Create a DAG with a source code like the following one

```python
from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.empty import EmptyOperator
from airflow.utils import timezone
from airflow.utils.task_group import TaskGroup


with DAG("dag", start_date=timezone.datetime(2016, 1, 1)) as dag:
    start = EmptyOperator(task_id="start")
    finish = EmptyOperator(task_id="finish")

    group = TaskGroup("test-group")
    commands = ["echo a", "echo b", "echo c"]
    mapped = BashOperator.partial(task_id="task_2", task_group=group).expand(bash_command=commands)

    start >> group >> finish

# assert mapped.task_group == group

```

### Operating System

macOS 13.2.1 (22D68)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other

### 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)

self,
        start_date: datetime | None = None,
        end_date: datetime | None = None,
        ignore_first_depends_on_past: bool = True,
        wait_for_past_depends_before_skipping: bool = False,
        ignore_ti_state: bool = False,
        mark_success: bool = False,
        test_mode: bool = False,
        session: Session = NEW_SESSION,
    ) -> None:
        """Run a set of task instances for a date range."""
        from airflow.models import DagRun
        from airflow.utils.types import DagRunType
        
        
        if TYPE_CHECKING:
            assert self.start_date
        start_date = pendulum.instance(start_date or self.start_date)
        end_date = pendulum.instance(end_date or self.end_date or timezone.utcnow())
        for info in self.dag.iter_dagrun_infos_between(start_date, end_date, align=False):
            ignore_depends_on_past = info.logical_date == start_date and ignore_first_depends_on_past
            try:
                dag_run = (