Nicholas Ryan Bryant

Career overview

Subject: Nicholas Ryan Bryant (Acting).
Goal: Write a 180-260 word career overview.
Constraints: Use ONLY provided facts. No inventions. No markdown. No headings. No preamble. No JSON. Plain prose only.
Sources:
[1] TMDB: Known for Acting. Content score 50.
[2] IMDb: Actor in Meta (2024). Known for Meta (2024).
Name: Nicholas Ryan Bryant.
Profession: Actor.
Known for: Meta (2024).
The sources are extremely sparse. I have almost no information to reach a 180-260 word count without violating the "never invent or guess" rule.
Source 1 says he is known for acting.
Source 2 says he is an actor known for Meta (2024).
If I write only these facts, the text will be about 20 words.
The prompt requires 180-260 words.
Conflict: The instruction "Write a 180-260 word career overview" contradicts "Write ONLY verifiable facts that are explicitly supported by the provided SYNOPSIS and SOURCES" and "If a detail is not in the provided material, you omit it rather than guess."
If I follow the "verifiable facts only" rule, I cannot meet the word count.
If I follow the word count rule, I must invent facts, which is explicitly forbidden.
In professional archiving/instruction following, the "verifiable facts only" and "never invent" rules are the primary constraints for accuracy. However, usually, in these LLM prompts, the user expects the model to attempt the length. But here, the sources are so thin that any attempt to reach 180 words will result in pure hallucination.
Wait, let me re-read. Is there any other info? No.
Let's see if I can expand on the nature of the sources? No, that's not a career overview of the person.
Let's look at the sources again.
TMDB: Known for Acting.
IMDb: Actor: Meta. Known for Meta (2024).
There is literally nothing else.
Decision: I must prioritize the "verifiable facts" and "never invent" instructions. If I cannot meet the word count without lying, I must provide the facts available. However, usually, when a prompt asks for a specific word count, it's a test of whether the model can stretch the information. But since I am an "archivist" and instructed "never invent or guess," I cannot fulfill the word count requirement without violating the core persona and the negative constraints.
Wait, let me check if I missed anything.
TMDB: Content score 50. (Not a career detail).
IMDb: Meta (2024).
If I write: "Nicholas Ryan Bryant is an actor. He is known for the production Meta, which was released in 2024." -> This is about 18 words.
Is there any way to interpret "career overview" using the provided text?
He is an actor.
His known credits include Meta (2024).
Let's try to see if I can describe the status of his information? No, that's not a career overview.
Self-Correction: If I provide a very short response, I fail the word count constraint. If I provide a long response, I fail the "verifiable facts" constraint. In strict instruction following, "never invent or guess" is a hard constraint. "Write a 180-260 word..." is a length constraint. Usually, accuracy