### 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)

return
                
                self.log.debug("Adding %s to not_ready", ti)
                ti_status.not_ready.add(key)
            try:
                for task in self.dag.topological_sort(include_subdag_tasks=True):
                    for key, ti in list(ti_status.to_run.items()):
                        if task.task_id != ti.task_id:
                            continue
                        pool = session.query(models.Pool).filter(models.Pool.pool == task.pool).first()
                        if not pool:
                            raise PoolNotFound(f"Unknown pool: {task.pool}")
                        open_slots = pool.open_slots(session=session)
                        if open_slots <= 0:
                            raise NoAvailablePoolSlot(
                                f"Not scheduling since there are {open_slots} open slots in pool {task.pool}"
                            )
                        num_running_task_instances_in_dag = DAG.get_num_task_instances(
                            self.dag_id,
                            states=self.STATES_COUNT_AS_RUNNING,
                            session=session,
                        )
                        if num_running_task_instances_in_dag >= self.dag.max_active_tasks:
                            raise DagConcurrencyLimitReached(
                                "Not scheduling since DAG max_active_tasks limit is reached."
                            )
                        if task.max_active_tis_per_dag:
                            num_running_task_instances_in_task = DAG.get_num_task_instances(
                                dag_id=self.dag_id,
                                task_ids=[task.task_id],