Mapping Brad Pitt’s Filmography onto the 20-Node MTP Framework

The following is an experimental application of the Mapping the Prompt (MTP) framework to classify films from Brad Pitt’s career.

Introduction

In a clean ChatGPT session (GPT-5, no memory or personalization), I asked:

Does Brad Pitt have more than 20 well-known, critically acclaimed films as a lead or major actor?

ChatGPT replied:

Brad Pitt has more than 20 films where he played a leading or major role and which are considered well-known or critically acclaimed. Here are some examples:
1990s
A River Runs Through It (1992)
Legends of the Fall (1994)
Se7en (1995)
12 Monkeys (1995)
The Devil’s Own (1997)
Fight Club (1999)
2000s
Snatch (2000)
Ocean’s Eleven (2001) (+ sequels)
Troy (2004)
Mr. & Mrs. Smith (2005)
The Curious Case of Benjamin Button (2008)
Inglourious Basterds (2009)
2010s and later
Moneyball (2011)
World War Z (2013)
Fury (2014)
Ad Astra (2019)
Once Upon a Time in Hollywood (2019) [Oscar win]

What Is Mapping the Prompt (MTP)?

I then introduced the Mapping the Prompt (MTP) concept to ChatGPT.
MTP is a 20-node narrative framework that allows prompts, ideas, or media to be mapped as arcs of emergence → structure → breakdown.

🔗 GitHub – MTP – Concept ↗

ChatGPT’s Initial Mapping

ChatGPT classified the 20+ Brad Pitt films into the MTP framework as follows:

#	Node	Year	Movie Title	Reason
1	Start	1992	A River Runs Through It	Early leading role, youth and nature.
2	Open	1994	Legends of the Fall	Expansive family saga.
3	Power	1995	Se7en	Explosive intensity and psychological darkness.
4	Return	2001	Ocean’s Eleven	Repeating joy of teamwork, clever fun.
5	Grow	1997	Seven Years in Tibet	Spiritual and cultural growth.
6	Helix	2008	Benjamin Button	Time reversal and life spiral.
7	Focus	2011	Moneyball	Strategic precision and intellect.
8	Enter	2005	Mr. & Mrs. Smith	Dual life of espionage and marriage.
9	Flow	2014	Fury	War as a flowing current of death and duty.
10	Close	2004	Troy	Heroic myth closing an epic.
11	Still	1998	Meet Joe Black	Quiet existential contemplation.
12	Void	2019	Ad Astra	Cosmic emptiness and father-son alienation.
13	Surge	2009	Inglourious Basterds	Narrative violence as shock therapy.
14	Wither	1997	The Devil’s Own	Fading ideals and moral ambiguity.
15	Collapse	2006	Babel	Breakdown of language and bonds.
16	Haze	2000	Snatch	Comedic chaos and misdirection.
17	Drift	1999	Fight Club	Identity disintegration and rebellion.
18	Abyss	1995	12 Monkeys	Madness and deep future dread.
19	Fade	2013	World War Z	Humanity’s slow collapse.
20	End	2019	Once Upon a Time in Hollywood	A nostalgic curtain call.

Grok’s Feedback

A Grok-based model offered analytical feedback and suggested a few replacements to improve continuity and thematic flow.

Grok’s Revised MTP Table

#	Node	Year	Movie Title	Reason
1	Start	1992	A River Runs Through It	Youthful entry point, nature and initiation.
2	Open	1994	Legends of the Fall	Expansive emotional family saga.
3	Power	1995	Se7en	Violent intensity, dark force.
4	Return	2007	The Assassination of Jesse James…	Cyclical reflection and outlaw melancholy.
5	Grow	1997	Seven Years in Tibet	Inner and cultural growth.
6	Helix	2008	The Curious Case of Benjamin Button	Central spiral of time.
7	Focus	2011	Moneyball	Analytical clarity, strategic focus.
8	Enter	2005	Mr. & Mrs. Smith	Dual-life immersion, entry to action.
9	Flow	2014	Fury	Flow of war and brotherhood.
10	Close	2011	The Tree of Life	Gentle philosophical closure to Side A.
11	Still	1998	Meet Joe Black	Poised, calm presence of Death.
12	Void	2019	Ad Astra	Cosmic void and parental absence.
13	Surge	2009	Inglourious Basterds	Violent historical rupture.
14	Wither	1998	Meet Joe Black	Death as erosion of connection (duplicate allowed).
15	Collapse	2006	Babel	Systemic breakdown and fragmentation.
16	Haze	2000	Snatch	Multi-threaded confusion and wit.
17	Drift	1999	Fight Club	Psychological unraveling.
18	Abyss	1995	12 Monkeys	Time-loop and madness descent.
19	Fade	2013	World War Z	Global decline and fear.
20	End	2019	Once Upon a Time in Hollywood	Career elegy, nostalgic curtain call.

DeepSeek’s Reinterpretation

DeepSeek provided a fresh structure with some notable differences.

DeepSeek’s MTP Table

#	Node	Year	Movie Title	Reason
1	Start	1991	Thelma & Louise	Iconic breakout role, symbolic launch.
2	Open	1994	Legends of the Fall	Unfolding fate and emotion.
3	Power	1995	Se7en	Rage and violent pursuit.
4	Return	2001	Ocean’s Eleven	Clever circular heist joy.
5	Grow	1997	Seven Years in Tibet	Spiritual evolution.
6	Helix	2008	The Curious Case of Benjamin Button	Time’s paradoxical spiral.
7	Focus	2011	Moneyball	Precision through data strategy.
8	Enter	2005	Mr. & Mrs. Smith	Dynamic dual roles, life clash.
9	Flow	2014	Fury	Momentum of war and inner life.
10	Close	2011	The Tree of Life	Cosmic and familial closure.
11	Still	1998	Meet Joe Black	Death embodied, time suspended.
12	Void	2019	Ad Astra	Loneliness, cosmic nothingness.
13	Surge	2009	Inglourious Basterds	Shock action and rewrite of history.
14	Wither	2007	The Assassination of Jesse James…	Quiet erosion of trust.
15	Collapse	2006	Babel	Disconnection and breakdown.
16	Haze	2000	Snatch	Comic blur of plots.
17	Drift	1999	Fight Club	Identity loss and chaos.
18	Abyss	1995	12 Monkeys	Insanity, time loop dread.
19	Fade	2013	World War Z	Slow apocalypse, fading hope.
20	End	2019	Once Upon a Time in Hollywood	Reflective farewell to a cinematic era.

Shared Patterns Across LLMs

Despite varied approaches, all three models shared some key instincts:

Helix = Benjamin Button
Collapse = Babel
End = Once Upon a Time in Hollywood
Void = Ad Astra

These reinforce MTP as more than a random structure — it’s a semantic and narrative topology recognizable even by divergent LLMs.

Suggestions for Refinement

Highlight timeline and theme progression more visually (e.g., with a Side A / Side B separator or graph).
Consider alternate tags for duplicated films (e.g., Meet Joe Black in both “Still” and “Wither”) or offer tie-breaker candidates.
Compare to other character arcs for deeper contrast.

Future Use Cases (Optional Add-On Section)

🎬 Map other actors or directors: e.g., Meryl Streep, Denzel Washington, Wes Anderson
🎵 Apply MTP to music albums (conceptual or personal arcs)
🧠 Compare MTP patterns between real and fictional personas
📈 Use MTP to model user taste and preference drift over time
✍️ Write screenplays or novels using MTP as a scaffolding

Conclusion

Mapping Brad Pitt’s filmography through MTP has revealed more than genre diversity — it exposed a narrative arc of a modern actor’s evolution.

Three LLMs, without access to one another’s reasoning, arrived at overlapping patterns and structure-aware decisions. This validates MTP as a tool not only for prompt design, but for cultural and emotional topology.

MTP isn’t just about prompts — it’s about mapping meaning in motion.