def METHOD_NAME(names, extras=None, describe=True, verbose=False):
    """Create DataFrame of Wikidata search results
    Args:
        names (list[str]): List of names to search for
        extras (dict(str: list)): Optional extra items to assign to results for corresponding name
        describe (bool): Optional flag to include description of entity
        verbose (bool): Optional flag to print out intermediate data
    Returns:
        pandas.DataFrame: Wikipedia results for all names with found entities
    """
    results = []
    for idx, name in enumerate(names):
        entity_id = find_wikidata_id(name)
        if verbose:
            print("name: {name}, entity_id: {id}".format(name=name, id=entity_id))
        if entity_id == "entityNotFound":
            continue
        json_links = query_entity_links(entity_id)
        related_links = read_linked_entities(json_links)
        description = query_entity_description(entity_id) if describe else ""
        for related_entity, related_name in related_links:
            result = dict(
                name=name,
                original_entity=entity_id,
                linked_entities=related_entity,
                name_linked_entities=related_name,
            )
            if describe:
                result["description"] = description
            if extras is not None:
                for field, lst in extras.items():
                    result[field] = lst[idx]
            results.append(result)
    return pd.DataFrame(results)