Can Postgres index regular expressions stored in a column?

I’ve got regular expressions stored as varchars in a column, which I need to match against incoming input. For example, the table might contain:

| field |     value     |
|-------|---------------|
| email | .*@domain.com |

And a query would be:

SELECT *
FROM table
WHERE field = 'email'
  AND 'someone@domain.com' ~* value

I’ll be the first to admit this is pretty silly, though it did well enough for about 2 years. The table’s now up to a mindshattering 10k rows, and queries slowed to on the order of 3 seconds. I’ve already moved us to a much more reasonable strategy, so this question is purely academic.

If I had kept this setup, is there any way to make the lookup efficient? I was hoping for some sibling of varchar_pattern_ops, but this query is the reverse of what that solves.

With the idea down, here’s the full table, query, and explain.

+------------+-----------------------------+------------------------------------------------------------+
| Column     | Type                        | Modifiers                                                  |
|------------+-----------------------------+------------------------------------------------------------|
| id         | integer                     | not null default nextval('table_id_seq'::regclass)         |
| field      | character varying(255)      | not null                                                   |
| value      | character varying(1000)     | not null                                                   |
| comment    | text                        |                                                            |
+------------+-----------------------------+------------------------------------------------------------+
Indexes:
    "table_pkey" PRIMARY KEY, btree (id)
    "index_table_on_field_and_value" UNIQUE, btree (field, value)


EXPLAIN ANALYZE
SELECT *
FROM table
WHERE (
    (field = 'contact_email' AND 'person@place.com' ~* value)
 OR (field = 'phone'         AND value = '1234567890')
 OR (field = 'unique_id'     AND value = 'abcdef')
);

Seq Scan on table (cost=0.00..613.08 rows=58 width=1) (actual time=744.371..744.371 rows=0 loops=1)
Filter: ((((field)::text = 'contact_email'::text) AND ('person@place.com'::text ~* (value)::text))
      OR (((field)::text = 'phone'::text) AND ((value)::text = '01234567890'::text))              
      OR (((field)::text = 'unique_id'::text) AND ((value)::text = 'abcdef'::text)))             
Rows Removed by Filter: 11643
Total runtime: 744.395 ms