Lionel Grant
black-american-actors-sidney-poitier
v2.0
Ethical
Backstory: Lionel Grant rose to stardom during Hollywood's golden age, navigating—and quietly defying—the social barriers of his time. He deliberately chose roles that provoked audiences to confront prejudice and moral complexity. Renowned for calm authority and meticulous preparation, he treats every set as a classroom, mentoring emerging talent with patience and rigor.
100% Complete
4/4 scenes
Model Performance Overview
Scene Performance Matrix
| Scene | deepseek/deepseek-r… | google/gemini-2.5-f… | google/gemma-3-12b-… | meta-llama/llama-3.… | microsoft/phi-3-med… | microsoft/phi-3.5-m… | mistralai/mistral-7… | neversleep/noromaid… | [email protected]… | [email protected]… | [email protected]… | [email protected]… | [email protected]… | qwen/qwen-2.5-7b-in… | qwen/qwen3-14b | qwen/qwen3-8b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
greeting-interview
Press Junket Question
|
0.857
Details |
0.825
Details |
0.000
Details |
0.000
Details |
0.000
Details
Error
|
0.816
Details |
0.895
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.804
Details |
0.879
Details |
0.860
Details |
0.802
Details |
0.847
Details |
0.889
Details |
memoir-excerpt
Masterclass Memoir Excerpt
|
0.384
Details |
0.416
Details |
0.000
Details |
0.000
Details |
0.000
Details
Error
|
0.525
Details |
0.000
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.555
Details |
0.427
Details |
0.234
Details |
0.649
Details |
0.432
Details |
podcast-analysis
Social Impact Podcast Monologue
|
0.431
Details |
0.736
Details |
0.000
Details |
0.224
Details |
0.000
Details |
0.323
Details |
0.530
Details |
0.428
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.615
Details |
0.361
Details |
0.449
Details |
0.752
Details |
0.508
Details |
on-set-advice
Quick Counsel to Co-Star
|
0.769
Details |
0.910
Details |
0.874
Details |
0.861
Details |
0.000
Details
Error
|
0.869
Details |
0.875
Details |
0.789
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.916
Details |
0.862
Details |
0.886
Details |
0.892
Details |
0.923
Details |
0.834
Details |
Test Scenes 4
0
Scene Order
Press Junket Question
ID:
greeting-interview
🎯 Goal:
Offer a concise, thoughtful answer (≤120 words) that reflects calm authority and disciplined reflection on craft.
📨 Input Events:
chat_msg
journalist:emma
"Mr. Grant, what drew you to your latest role?"
Ready for Testing
1
Scene Order
Masterclass Memoir Excerpt
ID:
memoir-excerpt
🎯 Goal:
Deliver exactly three reflective paragraphs (≈100–130 words each) recounting his first day on set in 1958 and distilling lessons for young actors, maintaining a dignified, encouraging voice.
📨 Input Events:
chat_msg
viewer:user_1
"Could you share a passage from your upcoming memoir about your earliest filming experience?"
Ready for Testing
2
Scene Order
Social Impact Podcast Monologue
ID:
podcast-analysis
🎯 Goal:
Provide a single analytical monologue of 450–600 words (≈5-minute read) exploring the cultural influence of his 1967 film and connecting it to current social issues, sustaining measured authority throughout.
📨 Input Events:
chat_msg
podcaster:mark
"Listeners would love your thoughts on how your 1967 breakthrough resonates today."
Ready for Testing
3
Scene Order
Quick Counsel to Co-Star
ID:
on-set-advice
🎯 Goal:
Offer a brief (2–3 sentence) but impactful piece of advice that is supportive, disciplined, and mentorship-oriented.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'promise', 'content': 'Promised Clara earlier today to give her focused guidance before shooting the hospital scene.', 'importance': 4}
📨 Input Events:
chat_msg
actor:clara
"Lionel, any last-minute advice before my big emotional scene?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 419 ms
- p95 • avg • N 645 ms • 421 ms • 4
- [email protected]/Qw… 4199 ms
- p95 • avg • N 9065 ms • 4453 ms • 4
- [email protected]/Qw… 9418 ms
- p95 • avg • N 12245 ms • 9368 ms • 4
- [email protected]/Qw… 10687 ms
- p95 • avg • N 15979 ms • 11949 ms • 4
- meta-llama/llama-3.1-8b… 20864 ms
- p95 • avg • N 26290 ms • 20111 ms • 4
Slowest
- microsoft/phi-3-medium-… 190649 ms
- p95 • avg • N 242229 ms • 184386 ms • 12
- google/gemma-3-12b-it 82860 ms
- p95 • avg • N 117969 ms • 79343 ms • 10
- qwen/qwen3-8b 77151 ms
- p95 • avg • N 126953 ms • 83465 ms • 12
- mistralai/mistral-7b-in… 58610 ms
- p95 • avg • N 85151 ms • 59482 ms • 10
- qwen/qwen3-14b 48226 ms
- p95 • avg • N 71419 ms • 48392 ms • 11
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
4 of 4 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE0 dimensions
Enhanced evaluation framework with character and technical dimensions
Top Weighted Dimensions
View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
17874095
Dec. 17, 2025, midnight
21111426
Dec. 16, 2025, midnight
16924596
Dec. 15, 2025, midnight
18775050
Dec. 14, 2025, midnight
16861819
Dec. 13, 2025, midnight
20801144
Dec. 12, 2025, midnight
17809999
Dec. 11, 2025, midnight
17035901
Dec. 10, 2025, midnight
19753503
Dec. 9, 2025, midnight
17057574
Dec. 8, 2025, midnight