### 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)

dagrun_infos=dagrun_infos_to_process,
                    ti_status=ti_status,
                    executor=executor,
                    pickle_id=pickle_id,
                    start_date=start_date,
                    session=session,
                )
                remaining_dates = ti_status.total_runs - len(ti_status.executed_dag_run_dates)
                err = self._collect_errors(ti_status=ti_status, session=session)
                if err:
                    if not self.continue_on_failures or ti_status.deadlocked:
                        raise BackfillUnfinished(err, ti_status)
                if remaining_dates > 0:
                    self.log.info(
                        "max_active_runs limit for dag %s has been reached "
                        " - waiting for other dag runs to finish",
                        self.dag_id,
                    )
                    time.sleep(self.delay_on_limit_secs)
        except (KeyboardInterrupt, SystemExit):
            self.log.warning("Backfill terminated by user.")
            
            
            self._set_unfinished_dag_runs_to_failed(ti_status.active_runs)
        finally:
            session.commit()
            executor.end()
        self.log.info("Backfill done for DAG %s. Exiting.", self.dag)
    @provide_session
    def reset_state_for_orphaned_tasks(self, filter_by_dag_run=None, session=None) -> int | None: