### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

"""
        Computes the dag runs and their respective task instances for
        the given run dates and executes the task instances.
        Returns a list of execution dates of the dag runs that were executed.
        :param dagrun_infos: Schedule information for dag runs
        :param ti_status: internal BackfillJob status structure to tis track progress
        :param executor: the executor to use, it must be previously started
        :param pickle_id: numeric id of the pickled dag, None if not pickled
        :param start_date: backfill start date
        :param session: the current session object
        """
        for dagrun_info in dagrun_infos:
            for dag in self._get_dag_with_subdags():
                dag_run = self._get_dag_run(dagrun_info, dag, session=session)
                tis_map = self._task_instances_for_dag_run(dag, dag_run, session=session)
                if dag_run is None:
                    continue
                ti_status.active_runs.append(dag_run)
                ti_status.to_run.update(tis_map or {})
        processed_dag_run_dates = self._process_backfill_task_instances(
            ti_status=ti_status,
            executor=executor,
            pickle_id=pickle_id,
            start_date=start_date,
            session=session,
        )
        ti_status.executed_dag_run_dates.update(processed_dag_run_dates)
    @provide_session
    def _set_unfinished_dag_runs_to_failed(self, dag_runs, session=None):