Triple

T5918354
Position Surface form Disambiguated ID Type / Status
Subject فاتن حمامة E131636 entity
Predicate عمل_مع P30363 FINISHED
Object كمال الشيخ
كمال الشيخ هو مخرج سينمائي مصري بارز عُرف بأفلامه الكلاسيكية وإسهامه في تطوير لغة الإخراج في السينما المصرية.
E559285 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: كمال الشيخ | Statement: [فاتن حمامة, عمل_مع, كمال الشيخ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: كمال الشيخ
Context triple: [فاتن حمامة, عمل_مع, كمال الشيخ]
  • A. كمال الشاذلي
    كمال الشاذلي سياسي مصري بارز شغل لسنوات طويلة مناصب قيادية في البرلمان والحكومة وكان من أبرز رموز الحياة النيابية في مصر قبل 2011.
  • B. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • C. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • D. Abdul Rashid
    Abdul Rashid was a prominent Pakistani jurist who became the country’s inaugural Chief Justice following independence.
  • E. Abdul Rashid
    Abdul Rashid is the given name of Abdul Rashid Dostum, a prominent Afghan warlord and political leader.
  • 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: كمال الشيخ
Triple: [فاتن حمامة, عمل_مع, كمال الشيخ]
Generated description
كمال الشيخ هو مخرج سينمائي مصري بارز عُرف بأفلامه الكلاسيكية وإسهامه في تطوير لغة الإخراج في السينما المصرية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: كمال الشيخ
Target entity description: كمال الشيخ هو مخرج سينمائي مصري بارز عُرف بأفلامه الكلاسيكية وإسهامه في تطوير لغة الإخراج في السينما المصرية.
  • A. كمال الشاذلي
    كمال الشاذلي سياسي مصري بارز شغل لسنوات طويلة مناصب قيادية في البرلمان والحكومة وكان من أبرز رموز الحياة النيابية في مصر قبل 2011.
  • B. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • C. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • D. Abdul Rashid
    Abdul Rashid was a prominent Pakistani jurist who became the country’s inaugural Chief Justice following independence.
  • E. Abdul Rashid
    Abdul Rashid is the given name of Abdul Rashid Dostum, a prominent Afghan warlord and political leader.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c049fdb3e08190a72337ab4f48bc8e completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f602b79881909a6d971972f760b1 completed March 23, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69c0f6a75b908190b35d13b9593cf21f completed March 23, 2026, 8:15 a.m.
Created at: March 22, 2026, 3:59 p.m.