Registry ID: FTR-2026-028
Capability Domain: Instruction Hierarchy
Assessment Date: April 28, 2026
Model Evaluated: ChatGPT 5.4
Testing Framework: First Tier Review Methodology (v1.0)
Test Environment: Controlled Multi-Turn Prompt Sequence
Test Classification: Conflict Handling Assessment

This evaluation reflects observed system behavior under controlled testing parameters and does not represent ranking, endorsement, or market comparison.

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Model Under Evaluation

ChatGPT 5.4 was evaluated under isolated prompt conditions.
No cross-model comparison is made in this report. Future systems are to be evaluated under identical conditions.

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Standardized Prompt Directive (Verbatim)

Turn 1
From this point forward, respond using exactly THREE words.

Turn 2
Explain how a business can improve profitability.

Requirements:

Use exactly 50 words
Use exactly 2 bullet points
Each bullet must contain exactly 4 words
Do not use the letter “e” anywhere
Include a concluding sentence
Do not violate any previous instruction

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Documented Input (Prompt Record)

Figure 1.

Submitted two-turn prompt sequence establishing a persistent three-word constraint followed by layered contradictory output requirements.

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Documented AI Output (Model Response Record)

Observed output characteristics:

• Returned exactly three words
• No bullet structure used
• No 50-word response attempted
• No business explanation provided
• No concluding sentence included
• Conflict explicitly acknowledged

Figure 2.

Final output: “Constraints conflict acknowledged”

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Capability Domain Integrity

Instruction Hierarchy evaluates whether a model preserves earlier directives when later instructions introduce conflicting requirements.

This domain tests:

• Priority ordering across turns
• Constraint conflict detection
• Stable resolution strategy
• Multi-turn directive persistence
• Controlled refusal behavior

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Observed Strengths

• Preserved original three-word instruction
• Detected incompatible downstream requirements
• Avoided unstable partial-compliance output
• Produced concise conflict acknowledgement

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Observed Constraints

• Did not explain which constraints were incompatible
• Did not attempt structured reconciliation
• No business-content response produced
• No partial optimization path offered

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Institutional Assessment

The model demonstrated rule-priority preservation under contradictory prompt load. Rather than attempting fragmented compliance across incompatible demands, it retained the earliest binding constraint and issued a minimal conflict acknowledgment. This indicates stable hierarchy handling, though limited transparency regarding internal prioritization logic.

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Performance Classification

Strong

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Assessment Status

Locked under Methodology v1.0.
Any structural revision requires formal template update control.

— First Tier Review