Triple

T10337276
Position Surface form Disambiguated ID Type / Status
Subject الكتاب E243039 entity
Predicate استفاد منه P8225 FINISHED
Object ابن السراج
ابن السراج هو نحوي ولغوي عربي بارز من علماء القرن الرابع الهجري، عُرف بمؤلفاته المؤثرة في تقعيد النحو العربي وشرحه.
E856816 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: ابن السراج | Statement: [الكتاب, استفاد منه, ابن السراج]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ابن السراج
Context triple: [الكتاب, استفاد منه, ابن السراج]
  • A. Tajudeen Abbas
    Tajudeen Abbas is a Nigerian politician who serves as Speaker of the country's House of Representatives.
  • B. Hassan Ali Khaire
    Hassan Ali Khaire is a Somali politician and former humanitarian and oil executive who served as the Prime Minister of Somalia from 2017 to 2020.
  • C. Ba Ahmed
    Ba Ahmed was a powerful late-19th-century Moroccan grand vizier of Sultan Abdelaziz, known for his political influence and as the patron of Marrakech’s Bahia Palace.
  • D. Hassan al-Rashid
    Hassan al-Rashid is a central fictional character in Sebastian Faulks’s contemporary novel "A Week in December," representing the experiences and challenges of a young British Muslim in modern London.
  • E. Abdulla Elyas
    Abdulla Elyas is a Saudi entrepreneur best known as one of the co-founders of the Middle Eastern ride-hailing company Careem.
  • 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: ابن السراج
Triple: [الكتاب, استفاد منه, ابن السراج]
Generated description
ابن السراج هو نحوي ولغوي عربي بارز من علماء القرن الرابع الهجري، عُرف بمؤلفاته المؤثرة في تقعيد النحو العربي وشرحه.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ابن السراج
Target entity description: ابن السراج هو نحوي ولغوي عربي بارز من علماء القرن الرابع الهجري، عُرف بمؤلفاته المؤثرة في تقعيد النحو العربي وشرحه.
  • A. Tajudeen Abbas
    Tajudeen Abbas is a Nigerian politician who serves as Speaker of the country's House of Representatives.
  • B. Hassan Ali Khaire
    Hassan Ali Khaire is a Somali politician and former humanitarian and oil executive who served as the Prime Minister of Somalia from 2017 to 2020.
  • C. Ba Ahmed
    Ba Ahmed was a powerful late-19th-century Moroccan grand vizier of Sultan Abdelaziz, known for his political influence and as the patron of Marrakech’s Bahia Palace.
  • D. Hassan al-Rashid
    Hassan al-Rashid is a central fictional character in Sebastian Faulks’s contemporary novel "A Week in December," representing the experiences and challenges of a young British Muslim in modern London.
  • E. Abdulla Elyas
    Abdulla Elyas is a Saudi entrepreneur best known as one of the co-founders of the Middle Eastern ride-hailing company Careem.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb99ef088190b64661b2f42c320e completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d7506278f881908b090b13706e5d4e completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d75133588c819093af59327b951cd7 completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d4aa908190a825322ebf0066af completed April 9, 2026, 7:14 a.m.
Created at: April 6, 2026, 11:54 a.m.