I need to investigate the temporal dimensions in this dataset to understand trends over time. From the evidence, I can see that `boxing_klitschko` has temporal columns `f_boxer_age` and `s_boxer_age`, but these contain mixed values (ranging from "20" to "orthodox", which suggests data quality issues). Let me search for actual date/timestamp columns across all tables. {"action": "tool_call", "reasoning": "Need to find proper temporal columns across all tables. The card mentions temporal axes but the age columns appear to have mixed data types. Let me query the metadata to find all temporal/date columns.", "tool": "query_sql", "purpose": "Find all temporal columns across the dataset", "args": {"sql": "SELECT table_name, column_name, phys_type, semantic_role, min_value, max_value FROM analytics.column_overview WHERE semantic_role = 'temporal' OR phys_type IN ('DATE', 'TIMESTAMP', 'DATETIME') ORDER BY table_name, column_name", "source": "raw"}}