### 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)

os.environ.update(airflow_context_vars)
            
            
            
            if not self.next_method:
                self.log.info(
                    "Exporting the following env vars:\n%s",
                    "\n".join(f"{k}={v}" for k, v in airflow_context_vars.items()),
                )
            
            self.task.pre_execute(context=context)
            
            self._run_execute_callback(context, self.task)
            
            with set_current_context(context):
                result = self._execute_task(context, task_orig)
            
            self.task.post_execute(context=context, result=result)
        Stats.incr(f"operator_successes_{self.task.task_type}", 1, 1)
        Stats.incr("ti_successes")
    def _run_finished_callback(
        self, callback: TaskStateChangeCallback | None, context: Context, callback_type: str
    ) -> None:
        """Run callback after task finishes"""
        try:
            if callback:
                callback(context)
        except Exception:  
            self.log.exception(f"Error when executing {callback_type} callback")
    def _execute_task(self, context, task_orig):