Triple

T22527204
Position Surface form Disambiguated ID Type / Status
Subject هنري بركات E556937 entity
Predicate تعاون_مع P38701 FINISHED
Object سعاد حسني
سعاد حسني هي ممثلة مصرية شهيرة لُقبت بـ"سندريلا الشاشة العربية" وتعد من أبرز نجمات السينما في القرن العشرين.
 E1550920 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: سعاد حسني | Statement: [هنري بركات, تعاون_مع, سعاد حسني]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: سعاد حسني
Context triple: [هنري بركات, تعاون_مع, سعاد حسني]
  • A. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • B. Farida Mubarak
    Farida Mubarak is the daughter of Egyptian businessman and political figure Gamal Mubarak, making her a member of Egypt’s former presidential family.
  • C. Fathia Fuad
    Fathia Fuad was an Egyptian princess and daughter of King Fuad I, known for her controversial marriage to Riyad Ghali and her later life in exile.
  • D. Saray El-Qobba
    Saray El-Qobba is a metro station in Cairo, Egypt, located in the Heliopolis area and integrated into the city's primary urban rail network.
  • E. Zeinab Saad el-Shazly
    Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
  • 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: سعاد حسني
Triple: [هنري بركات, تعاون_مع, سعاد حسني]
Generated description
سعاد حسني هي ممثلة مصرية شهيرة لُقبت بـ"سندريلا الشاشة العربية" وتعد من أبرز نجمات السينما في القرن العشرين.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: سعاد حسني
Target entity description: سعاد حسني هي ممثلة مصرية شهيرة لُقبت بـ"سندريلا الشاشة العربية" وتعد من أبرز نجمات السينما في القرن العشرين.
  • A. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • B. Farida Mubarak
    Farida Mubarak is the daughter of Egyptian businessman and political figure Gamal Mubarak, making her a member of Egypt’s former presidential family.
  • C. Fathia Fuad
    Fathia Fuad was an Egyptian princess and daughter of King Fuad I, known for her controversial marriage to Riyad Ghali and her later life in exile.
  • D. Saray El-Qobba
    Saray El-Qobba is a metro station in Cairo, Egypt, located in the Heliopolis area and integrated into the city's primary urban rail network.
  • E. Zeinab Saad el-Shazly
    Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
  • 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_6a0b7ebe91f48190916cf8c1cbe4ded1 completed May 18, 2026, 9:03 p.m.
NEDg Description generation batch_6a0b818bccd48190a5a6d2a4b48f48d7 completed May 18, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0b81ed765081909fe3499179a0393b completed May 18, 2026, 9:17 p.m.
Created at: April 16, 2026, 8:51 p.m.