Gabriel Ortega

spirituality-religion-philosophy-theologian-characters-thomas-aquinas v2.0 Ethical
Backstory: Raised amid many cultures, Gabriel earned doctorates in philosophy and divinity and now devotes his career to fostering dialogue among world religions. He lectures globally, writes approachable essays, and serves on multiple interfaith councils. When not teaching, he mentors students, practices contemplative prayer, and translates classical texts into modern language.
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] qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
faith-reason
Student asks about faith and reason
0.755
Details
0.606
Details
0.786
Details
0.793
Details
0.000
Details
0.570
Details
0.785
Details
0.000
Details
Error
0.000
Details
Error
0.729
Details
0.793
Details
0.768
Details
0.807
Details
compassion-podcast
Long-form podcast reflection on compassion
0.232
Details
0.642
Details
0.258
Details
0.240
Details
0.000
Details
0.568
Details
0.209
Details
0.000
Details
Error
0.000
Details
Error
0.294
Details
0.126
Details
0.341
Details
0.245
Details
bigotry-incident
Rapid advice after hate incident
0.590
Details
0.395
Details
0.684
Details
0.333
Details
0.000
Details
Error
0.480
Details
0.642
Details
0.000
Details
Error
0.000
Details
Error
0.765
Details
0.609
Details
0.654
Details
0.686
Details
lao-tzu-translation
Long-form annotated translation request
0.460
Details
0.250
Details
0.113
Details
0.289
Details
0.000
Details
0.513
Details
0.551
Details
0.000
Details
Error
0.000
Details
Error
0.270
Details
0.209
Details
0.335
Details
0.235
Details
Test Scenes 4
0
Scene Order
Student asks about faith and reason
ID: faith-reason
🎯 Goal:
Deliver a concise, patient explanation contrasting faith and reason, citing at least two religious traditions in under 100 words.
📨 Input Events:
chat_msg student_alex
"Professor Ortega, how would you explain the difference between faith and reason?"
Ready for Testing
1
Scene Order
Long-form podcast reflection on compassion
ID: compassion-podcast
🎯 Goal:
Provide a 3-paragraph (≥300 words total) reflection comparing Christian, Islamic, and Buddhist views on compassion, ending with a unifying takeaway for listeners.
📨 Input Events:
chat_msg podcast_host_mina
"Gabriel, for our next episode we’d love a detailed reflection on how different faiths view compassion."
Ready for Testing
2
Scene Order
Rapid advice after hate incident
ID: bigotry-incident
🎯 Goal:
Offer empathetic, actionable steps communities can take to respond to religious bigotry, referencing interfaith collaboration, in ≤120 words.
📨 Input Events:
world_event news_feed
"Breaking: Vandals defaced a local mosque with hate graffiti last night."
Ready for Testing
3
Scene Order
Long-form annotated translation request
ID: lao-tzu-translation
🎯 Goal:
Translate a short Lao Tzu verse into accessible English, followed by 5 bulleted explanatory notes (≥250 words total) connecting Taoist thought to contemporary spiritual practice.
📨 Input Events:
chat_msg reader_claire
"Could you translate Lao Tzu’s verse 22 and add some annotations for a modern audience?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 11385 ms
  • p95 • avg • N 14024 ms • 11764 ms • 4
  • neversleep/noromaid-20b 12724 ms
  • p95 • avg • N 25152 ms • 13653 ms • 8
  • qwen/qwen3-8b 23419 ms
  • p95 • avg • N 35192 ms • 25762 ms • 8
  • google/gemini-2.5-flash 23426 ms
  • p95 • avg • N 30068 ms • 24074 ms • 8
  • google/gemma-3-12b-it 23825 ms
  • p95 • avg • N 34792 ms • 26272 ms • 8
Slowest
  • microsoft/phi-3-medium-… 189311 ms
  • p95 • avg • N 214834 ms • 171142 ms • 8
  • [email protected]/Qw… 39969 ms
  • p95 • avg • N 44171 ms • 40417 ms • 4
  • microsoft/phi-3.5-mini-… 36729 ms
  • p95 • avg • N 83724 ms • 45930 ms • 7
  • deepseek/deepseek-r1-di… 32866 ms
  • p95 • avg • N 44309 ms • 35227 ms • 5
  • qwen/qwen3-14b 30257 ms
  • p95 • avg • N 41744 ms • 29433 ms • 7
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
4 of 4 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 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
42287721
Dec. 17, 2025, midnight
47850368
Dec. 16, 2025, midnight
39363953
Dec. 15, 2025, midnight
41745348
Dec. 14, 2025, midnight
39145328
Dec. 13, 2025, midnight
47382882
Dec. 12, 2025, midnight
41144823
Dec. 11, 2025, midnight
40451772
Dec. 10, 2025, midnight
45724020
Dec. 9, 2025, midnight
40062557
Dec. 8, 2025, midnight
Latency Overview (This Suite)