Triple

T5918359
Position Surface form Disambiguated ID Type / Status
Subject فاتن حمامة E131636 entity
Predicate عمل_مع P30363 FINISHED
Object شكري سرحان
شكري سرحان هو ممثل مصري بارز يُعد من نجوم السينما الكلاسيكية في القرن العشرين وشارك في العديد من الأفلام المهمة في تاريخ السينما المصرية.
 E556940 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: شكري سرحان | Statement: [فاتن حمامة, عمل_مع, شكري سرحان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: شكري سرحان
Context triple: [فاتن حمامة, عمل_مع, شكري سرحان]
  • A. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • B. Rami Shakarchi
    Rami Shakarchi is a mathematician and educator best known for coauthoring with Elias Stein a widely used series of graduate-level textbooks on analysis.
  • C. Tarek Sharif
    Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
  • D. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • E. Abdul Mateen
    Abdul Mateen is a Bruneian prince and public figure known for his military career, international diplomacy, and prominent presence in regional and global events.
  • 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: شكري سرحان
Triple: [فاتن حمامة, عمل_مع, شكري سرحان]
Generated description
شكري سرحان هو ممثل مصري بارز يُعد من نجوم السينما الكلاسيكية في القرن العشرين وشارك في العديد من الأفلام المهمة في تاريخ السينما المصرية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: شكري سرحان
Target entity description: شكري سرحان هو ممثل مصري بارز يُعد من نجوم السينما الكلاسيكية في القرن العشرين وشارك في العديد من الأفلام المهمة في تاريخ السينما المصرية.
  • A. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • B. Rami Shakarchi
    Rami Shakarchi is a mathematician and educator best known for coauthoring with Elias Stein a widely used series of graduate-level textbooks on analysis.
  • C. Tarek Sharif
    Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
  • D. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • E. Abdul Mateen
    Abdul Mateen is a Bruneian prince and public figure known for his military career, international diplomacy, and prominent presence in regional and global events.
  • 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_69c0c033d59481909495192af85307b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 3:59 p.m.