Triple

T22526714
Position Surface form Disambiguated ID Type / Status
Subject عز الدين ذو الفقار E556923 entity
Predicate relative P37 FINISHED
Object صلاح ذو الفقار
صلاح ذو الفقار هو ممثل ومنتج سينمائي مصري بارز من جيل الكلاسيكيات، عُرف بأدواره المتنوعة في السينما والتلفزيون وبكونه من عائلة فنية شهيرة.
 E1542400 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: صلاح ذو الفقار | Statement: [عز الدين ذو الفقار, relative, صلاح ذو الفقار]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: صلاح ذو الفقار
Context triple: [عز الدين ذو الفقار, relative, صلاح ذو الفقار]
  • A. Abu Lulu
    Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
  • B. غوث الأعظم
    غوث الأعظم هو لقب صوفي شهير يُطلق على الشيخ عبد القادر الجيلاني، أحد أبرز أولياء الإسلام ومؤسسي الطريقة القادرية.
  • C. Sa'id of Egypt
    Sa'id of Egypt was a 19th-century Ottoman viceroy (Wāli) of Egypt and Sudan, known for modernizing reforms and for granting the concession that led to the construction of the Suez Canal.
  • D. الطارق
    الطارق هو اسم سورة مكية في القرآن الكريم تُعنى بإثبات البعث وقدرة الله من خلال التأمل في خلق الإنسان والظواهر الكونية.
  • E. El Malek El Saleh
    El Malek El Saleh is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
  • 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: صلاح ذو الفقار
Triple: [عز الدين ذو الفقار, relative, صلاح ذو الفقار]
Generated description
صلاح ذو الفقار هو ممثل ومنتج سينمائي مصري بارز من جيل الكلاسيكيات، عُرف بأدواره المتنوعة في السينما والتلفزيون وبكونه من عائلة فنية شهيرة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: صلاح ذو الفقار
Target entity description: صلاح ذو الفقار هو ممثل ومنتج سينمائي مصري بارز من جيل الكلاسيكيات، عُرف بأدواره المتنوعة في السينما والتلفزيون وبكونه من عائلة فنية شهيرة.
  • A. Abu Lulu
    Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
  • B. غوث الأعظم
    غوث الأعظم هو لقب صوفي شهير يُطلق على الشيخ عبد القادر الجيلاني، أحد أبرز أولياء الإسلام ومؤسسي الطريقة القادرية.
  • C. Sa'id of Egypt
    Sa'id of Egypt was a 19th-century Ottoman viceroy (Wāli) of Egypt and Sudan, known for modernizing reforms and for granting the concession that led to the construction of the Suez Canal.
  • D. الطارق
    الطارق هو اسم سورة مكية في القرآن الكريم تُعنى بإثبات البعث وقدرة الله من خلال التأمل في خلق الإنسان والظواهر الكونية.
  • E. El Malek El Saleh
    El Malek El Saleh is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
  • 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_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.