### Apache Airflow version

2.5.0

### What happened

Open url `dags/gate/graph?dag_run_id=8256-8-1670328803&execution_date=2022-12-06T12%3A13%3A23.174592+00%3A00`
The graph is displaying a completely different dagrun. 
![image](https://user-images.githubusercontent.com/89977373/205916845-8acdf310-6073-46f9-aea3-8e144f6e4fba.png)
If you are not careful to review all the content, you might continue looking at the wrong results, or worse cancel a run with Mark failed.

I got the link from one of our users, so not 100% sure if it was the original url. I believe there could be something wrong with the url-encoding of the last `+` character. In any case, if there are any inconsistencies in the URL parameters vs the found dagruns, it should not display another dagrun, rather redirect to grid-view or error message.


### What you think should happen instead

* dag_run_id should be only required parameter, or have precedence over execution_date
* Provided dag_run_id should always be the same run-id that is displayed in graph
* Inconsistencies in any parameters should display error or redirect to grid view.

### How to reproduce

_No response_

### Operating System

Ubuntu 22.04

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### 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 [get_mapped_group_summary(run_id, tis) for run_id, tis in mapped_tis.items()]
        
        if task_group.group_id is None:
            return {
                "id": task_group.group_id,
                "label": task_group.label,
                "children": children,
                "instances": [],
            }
        if group_is_mapped:
            mapped_group_summaries = get_mapped_group_summaries()
            return {
                "id": task_group.group_id,
                "label": task_group.label,
                "children": children,
                "tooltip": task_group.tooltip,
                "instances": mapped_group_summaries,
                "is_mapped": group_is_mapped,
            }
        group_summaries = [get_summary(dr) for dr in dag_runs]
        return {
            "id": task_group.group_id,
            "label": task_group.label,
            "children": children,
            "tooltip": task_group.tooltip,
            "instances": group_summaries,
        }
    return task_group_to_grid(dag.task_group, grouped_tis, is_parent_mapped=False)
def get_key_paths(input_dict):