Let's break this down.

First, we need a list of Nobel laureates with their country of birth and country of death.
Second, for each laureate, we need to compare the third letter of their birth country with the third letter of their death country.
Third, we need to identify cases where the birth country's third letter is lexicographically *lower* than the death country's third letter.

This is a complex data extraction and comparison task that requires access to a comprehensive database of Nobel laureates. As an AI, I don't have real-time access to such a structured and filterable database to perform this instantly.

However, I can illustrate the *process* with a hypothetical example and explain how you would go about finding this information if you had access to the data.

**Illustrative Example (Hypothetical):**

Let's imagine we have the following (simplified) Nobel laureate data:

| Laureate Name | Birth Country | Death Country |
|---|---|---|
| Marie Curie | Poland | France |
| Albert Einstein | Germany | United States |
| Linus Pauling | United States | United States |
| Rabindranath Tagore | British India | India |
| Andrei Sakharov | Russia | Russia |

Now, let's apply the rule:

1.  **Marie Curie:**
    *   Birth Country: Poland (3rd letter: 'l')
    *   Death Country: France (3rd letter: 'a')
    *   'l' is NOT lexicographically lower than 'a'.

2.  **Albert Einstein:**
    *   Birth Country: Germany (3rd letter: 'r')
    *   Death Country: United States (3rd letter: 'i')
    *   'r' is NOT lexicographically lower than 'i'.

3.  **Linus Pauling:**
    *   Birth Country: United States (3rd letter: 'i')
    *   Death Country: United States (3rd letter: 'i')
    *   'i' is NOT lexicographically lower than 'i'.

4.  **Rabindranath Tagore:**
    *   Birth Country: British India (3rd letter: 'i')
    *   Death Country: India (3rd letter: 'd')
    *   'i' is NOT lexicographically lower than 'd'.

5.  **Andrei Sakharov:**
    *   Birth Country: Russia (3rd letter: 's')
    *   Death Country: Russia (3rd letter: 's')
    *   's' is NOT lexicographically lower than 's'.

**To actually get a list of such Nobel laureates, you would need to:**

1.  **Obtain a comprehensive dataset:** The official Nobel Prize website (nobelprize.org) is the best source. You'd likely need to extract data, possibly programmatically, or use their advanced search features if available for this specific comparison. Wikipedia's list of Nobel laureates, while extensive, would still require manual processing or scripting.
2.  **Standardize Country Names:** Ensure consistent naming (e.g., "United States" vs. "USA").
3.  **Handle Missing Data:** Some entries might have unknown birth or death countries.
4.  **Handle Historically Changing Borders/Country Names:** This is a major challenge. For example, individuals born in the Russian Empire might have died in the Soviet Union or a different independent nation. "British India" is another example. For the purpose of the "3rd letter" rule, using the *name of the country at the time of the event* might be more accurate or simply using the modern name for consistency, but the prompt implies using the literal name given in the data.
5.  **Implement the Comparison Logic:**
    *   Get the 3rd letter of the birth country name.
    *   Get the 3rd letter of the death country name.
    *   Compare them lexicographically (e.g., 'a' < 'b', 'b' < 'c', etc.).
    *   If the birth country's 3rd letter is *lower*, add the laureate to your list.

**Without performing this extensive data lookup, it's impossible for me to provide an accurate list of specific laureates.** Such a list would change as new laureates are announced and historical data is updated.
