Temporal Marker Extractor

Overview

This agent is designed to meticulously scan provided text content to detect and structure any temporal information. It goes beyond simply finding dates; it aims to establish the sequence and relative timing of events mentioned.

Capabilities

• Date Extraction: Accurately pulls primary dates and formats them into ISO 8601 (YYYY-MM-DD).
• Relative Ordering: Identifies sequential markers, such as 'Day X' or 'After Y', to establish a timeline.
• Structured Output: Returns the findings in a precise JSON format containing the source date, temporal order label, and a numerical index for easy sorting.

Example Use Cases

• Timeline Generation: Feed it meeting transcripts or historical documents to build a chronological sequence of events.
• Content Auditing: Use it on articles to ensure all mentioned deadlines or timeframes are captured consistently.
• Data Normalization: Process large datasets of unstructured text where temporal context is crucial for accurate analysis.