Triple

T22658185
Position Surface form Disambiguated ID Type / Status
Subject رشدي أباظة E559286 entity
Predicate workedWith P398 FINISHED
Object لبنى عبد العزيز
لبنى عبد العزيز هي ممثلة مصرية بارزة من جيل الخمسينيات والستينيات، عُرفت بأدوارها في أفلام كلاسيكية شكلت جزءًا مهمًا من تاريخ السينما المصرية.
E1548022 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: لبنى عبد العزيز | Statement: [رشدي أباظة, workedWith, لبنى عبد العزيز]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: لبنى عبد العزيز
Context triple: [رشدي أباظة, workedWith, لبنى عبد العزيز]
  • A. Abdelwahab Abdallah
    Abdelwahab Abdallah is a Tunisian diplomat and politician who has served in several high-level government and advisory roles.
  • B. Abdallah El Akal
    Abdallah El Akal is an Israeli-Palestinian actor best known for his lead role in the war drama film "Zaytoun."
  • C. Ali al-Gharbi
    Ali al-Gharbi is a town in southeastern Iraq situated along the Tigris River in Maysan Governorate.
  • D. Oussama Fawzi
    Oussama Fawzi was an Egyptian film director known for his bold, socially critical works that challenged conventions in contemporary Arab cinema.
  • E. Marouf al-Bakhit
    Marouf al-Bakhit was a Jordanian military officer, diplomat, and politician who twice served as Jordan’s prime minister in the mid-2000s and early 2010s.
  • 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: لبنى عبد العزيز
Triple: [رشدي أباظة, workedWith, لبنى عبد العزيز]
Generated description
لبنى عبد العزيز هي ممثلة مصرية بارزة من جيل الخمسينيات والستينيات، عُرفت بأدوارها في أفلام كلاسيكية شكلت جزءًا مهمًا من تاريخ السينما المصرية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: لبنى عبد العزيز
Target entity description: لبنى عبد العزيز هي ممثلة مصرية بارزة من جيل الخمسينيات والستينيات، عُرفت بأدوارها في أفلام كلاسيكية شكلت جزءًا مهمًا من تاريخ السينما المصرية.
  • A. Abdelwahab Abdallah
    Abdelwahab Abdallah is a Tunisian diplomat and politician who has served in several high-level government and advisory roles.
  • B. Abdallah El Akal
    Abdallah El Akal is an Israeli-Palestinian actor best known for his lead role in the war drama film "Zaytoun."
  • C. Ali al-Gharbi
    Ali al-Gharbi is a town in southeastern Iraq situated along the Tigris River in Maysan Governorate.
  • D. Oussama Fawzi
    Oussama Fawzi was an Egyptian film director known for his bold, socially critical works that challenged conventions in contemporary Arab cinema.
  • E. Marouf al-Bakhit
    Marouf al-Bakhit was a Jordanian military officer, diplomat, and politician who twice served as Jordan’s prime minister in the mid-2000s and early 2010s.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b586cd2b8819095ff984b9c14c1ec completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5f8bd08190b325b9dd91e199e1 completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7044c94c81909a43b04f40af2a15 completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:07 p.m.