Triple

T22527285
Position Surface form Disambiguated ID Type / Status
Subject أحمد مظهر E556939 entity
Predicate فيلم_بارز P140049 FINISHED
Object العتبة الخضراء
العتبة الخضراء هو فيلم مصري كوميدي شهير من أفلام الخمسينيات/الستينيات يدور حول عالم النصب والاحتيال في ميدان العتبة بالقاهرة.
E1542450 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: العتبة الخضراء | Statement: [أحمد مظهر, فيلم_بارز, العتبة الخضراء]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: العتبة الخضراء
Context triple: [أحمد مظهر, فيلم_بارز, العتبة الخضراء]
  • A. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • B. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • C. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • D. קו ירוק
    קו ירוק הוא הכינוי לקו שביתת הנשק שנקבע לאחר מלחמת העצמאות של ישראל ב-1949, אשר שימש במשך שנים כגבול דה-פקטו בין ישראל לשכנותיה.
  • E. شعبية الجبل الأخضر
    شعبية الجبل الأخضر هي إحدى المناطق الإدارية السابقة في ليبيا تقع في إقليم برقة وتشتهر بمرتفعاتها الخضراء ومناخها المعتدل.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: العتبة الخضراء
Triple: [أحمد مظهر, فيلم_بارز, العتبة الخضراء]
Generated description
العتبة الخضراء هو فيلم مصري كوميدي شهير من أفلام الخمسينيات/الستينيات يدور حول عالم النصب والاحتيال في ميدان العتبة بالقاهرة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: العتبة الخضراء
Target entity description: العتبة الخضراء هو فيلم مصري كوميدي شهير من أفلام الخمسينيات/الستينيات يدور حول عالم النصب والاحتيال في ميدان العتبة بالقاهرة.
  • A. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • B. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • C. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • D. קו ירוק
    קו ירוק הוא הכינוי לקו שביתת הנשק שנקבע לאחר מלחמת העצמאות של ישראל ב-1949, אשר שימש במשך שנים כגבול דה-פקטו בין ישראל לשכנותיה.
  • E. شعبية الجبل الأخضر
    شعبية الجبل الأخضر هي إحدى المناطق الإدارية السابقة في ليبيا تقع في إقليم برقة وتشتهر بمرتفعاتها الخضراء ومناخها المعتدل.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dd894048190a50e4b3d24d26905 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b2560f8b08190aaba573e06d38d55 completed May 18, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0b2729328481908faf3f88acfc9de1 completed May 18, 2026, 2:50 p.m.
Created at: April 16, 2026, 8:51 p.m.