Triple

T22526713
Position Surface form Disambiguated ID Type / Status
Subject عز الدين ذو الفقار E556923 entity
Predicate spouse P13 FINISHED
Object مريم فخر الدين
مريم فخر الدين هي ممثلة مصرية شهيرة من جيل الخمسينيات والستينيات عُرفت بجمالها الأوروبي وأدوارها الرومانسية في السينما العربية.
 E1544852 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: مريم فخر الدين | Statement: [عز الدين ذو الفقار, spouse, مريم فخر الدين]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: مريم فخر الدين
Context triple: [عز الدين ذو الفقار, spouse, مريم فخر الدين]
  • A. Ruqaia Hasan
    Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
  • B. Fathia Rizk
    Fathia Rizk, later known as Fathia Nkrumah, was an Egyptian-born First Lady of Ghana and the wife of the country’s first president, Kwame Nkrumah.
  • C. Sherine Khalil
    Sherine Khalil is a person whose given name is associated with the entity Athena.
  • D. Dalia Ziada
    Dalia Ziada is an Egyptian human rights activist, writer, and political analyst known for her prominent role in advocating democracy and civil liberties in the Arab world.
  • E. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • 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: مريم فخر الدين
Triple: [عز الدين ذو الفقار, spouse, مريم فخر الدين]
Generated description
مريم فخر الدين هي ممثلة مصرية شهيرة من جيل الخمسينيات والستينيات عُرفت بجمالها الأوروبي وأدوارها الرومانسية في السينما العربية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: مريم فخر الدين
Target entity description: مريم فخر الدين هي ممثلة مصرية شهيرة من جيل الخمسينيات والستينيات عُرفت بجمالها الأوروبي وأدوارها الرومانسية في السينما العربية.
  • A. Ruqaia Hasan
    Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
  • B. Fathia Rizk
    Fathia Rizk, later known as Fathia Nkrumah, was an Egyptian-born First Lady of Ghana and the wife of the country’s first president, Kwame Nkrumah.
  • C. Sherine Khalil
    Sherine Khalil is a person whose given name is associated with the entity Athena.
  • D. Dalia Ziada
    Dalia Ziada is an Egyptian human rights activist, writer, and political analyst known for her prominent role in advocating democracy and civil liberties in the Arab world.
  • E. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • 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_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d48301c8190930bde2d98c58bdf completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3fa7bf2481909649d3b2ef990e5b completed May 18, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4027d5888190ac207e00a6872763 completed May 18, 2026, 4:36 p.m.
Created at: April 16, 2026, 8:51 p.m.