System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: The ability of our tenants to operate successfully in the experiential real estate industry and remain current on their lease obligations depends on a number of factors, including, with respect to theatres, the availability and popularity of motion pictures, the performance of those pictures in tenants' markets, the allocation of popular pictures to tenants, the release window (represents the time that elapses from the date of a picture's theatrical release to the date it is available on other mediums) and the terms on which the pictures are licensed. Neither we nor our tenants control the operations of motion picture distributors. During the COVID-19 pandemic, motion picture distributors have increasingly relied upon streaming as a method of delivering product, including Warner Bros. announced simultaneous release of “Wonder Woman 1984” to theatres and streaming on HBO Max. There can be no assurances that motion picture distributors will continue to rely on theatres as the primary means of distributing first-run films, and motion picture distributors have and may in the future consider alternative film delivery methods. In addition, in August 2020, a U.S. District Court granted the U.S. Department of Justice's request to terminate the Paramount Consent Decrees, which prohibit movie studios from owning theatres or utilizing "block booking," a practice whereby movie studios sell multiple films as a package to theatres, in addition to other restrictions. The termination was effective immediately for certain restrictions, while other restrictions are subject to a two-year sunset period. There can be no assurances as to the effects of this regulatory action or whether this regulatory action will materially adversely affect our theatre tenants' operations and, in turn, their ability to perform under their leases.
Assistant: