### 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)

run_id = None
                record = None
                def set_overall_state(record):
                    for state in wwwutils.priority:
                        if state in record["mapped_states"]:
                            record["state"] = state
                            break
                    if None in record["mapped_states"]:
                        
                        
                        record["mapped_states"]["no_status"] = record["mapped_states"].pop(None)
                for ti_summary in ti_summaries:
                    if run_id != ti_summary.run_id:
                        run_id = ti_summary.run_id
                        if record:
                            set_overall_state(record)
                            yield record
                        record = {
                            "task_id": ti_summary.task_id,
                            "run_id": run_id,
                            "start_date": ti_summary.start_date,
                            "end_date": ti_summary.end_date,
                            "mapped_states": {ti_summary.state: ti_summary.state_count},
                            "state": None,  
                        }
                        continue
                    record["start_date"] = min(