### 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)

""":meta private:"""
        return {
            "dag_id": task.dag_id,
            "task_id": task.task_id,
            "run_id": run_id,
            "_try_number": 0,
            "hostname": "",
            "unixname": getuser(),
            "queue": task.queue,
            "pool": task.pool,
            "pool_slots": task.pool_slots,
            "priority_weight": task.priority_weight_total,
            "run_as_user": task.run_as_user,
            "max_tries": task.retries,
            "executor_config": task.executor_config,
            "operator": task.task_type,
            "map_index": map_index,
        }
    @reconstructor
    def init_on_load(self) -> None:
        """Initialize the attributes that aren't stored in the DB"""
        
        self._log = logging.getLogger("airflow.task")
        self.test_mode = False  
    @property
    def try_number(self):