### 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)

tasks_that_depend_on_past = [t.task_id for t in self.dag.task_dict.values() if t.depends_on_past]
            if tasks_that_depend_on_past:
                raise AirflowException(
                    f"You cannot backfill backwards because one or more "
                    f'tasks depend_on_past: {",".join(tasks_that_depend_on_past)}'
                )
            dagrun_infos = dagrun_infos[::-1]
        if not dagrun_infos:
            if not self.run_at_least_once:
                self.log.info("No run dates were found for the given dates and dag interval.")
                return
            dagrun_infos = [DagRunInfo.interval(dagrun_start_date, dagrun_end_date)]
        dag_with_subdags_ids = [d.dag_id for d in self._get_dag_with_subdags()]
        running_dagruns = DagRun.find(
            dag_id=dag_with_subdags_ids,
            execution_start_date=self.bf_start_date,
            execution_end_date=self.bf_end_date,
            no_backfills=True,
            state=DagRunState.RUNNING,
        )
        if running_dagruns:
            for run in running_dagruns:
                self.log.error(
                    "Backfill cannot be created for DagRun %s in %s, as there's already %s in a RUNNING "
                    "state.",
                    run.run_id,
                    run.execution_date.strftime("%Y-%m-%dT%H:%M:%S"),
                    run.run_type,
                )
            self.log.error(