Triple

T18994144
Position Surface form Disambiguated ID Type / Status
Subject Nuri al-Said E464762 entity
Predicate familyName P18 FINISHED
Object al-Said
al-Said is an Arabic family name historically associated with prominent political and social figures in the Middle East.
 E1354967 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: al-Said | Statement: [Nuri al-Said, familyName, al-Said]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: al-Said
Context triple: [Nuri al-Said, familyName, al-Said]
  • A. Sa’id
    Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
  • B. al-Said Barakah
    Al-Said Barakah was a short-reigned Mamluk sultan of Egypt in the late 13th century and the son of the powerful sultan Baibars.
  • C. al-Said Nasir al-Din Barakah
    Al-Said Nasir al-Din Barakah was a 13th-century Mamluk sultan of Egypt who briefly ruled following the death of his father, Sultan Baybars.
  • D. Tantawi
    Tantawi is an Arabic surname most notably associated with Egyptian military leader and former de facto head of state Mohamed Hussein Tantawi.
  • E. Al-Ruʾāsī
    Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
  • 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: al-Said
Triple: [Nuri al-Said, familyName, al-Said]
Generated description
al-Said is an Arabic family name historically associated with prominent political and social figures in the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: al-Said
Target entity description: al-Said is an Arabic family name historically associated with prominent political and social figures in the Middle East.
  • A. Sa’id
    Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
  • B. al-Said Barakah
    Al-Said Barakah was a short-reigned Mamluk sultan of Egypt in the late 13th century and the son of the powerful sultan Baibars.
  • C. al-Said Nasir al-Din Barakah
    Al-Said Nasir al-Din Barakah was a 13th-century Mamluk sultan of Egypt who briefly ruled following the death of his father, Sultan Baybars.
  • D. Tantawi
    Tantawi is an Arabic surname most notably associated with Egyptian military leader and former de facto head of state Mohamed Hussein Tantawi.
  • E. Al-Ruʾāsī
    Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67fc90081908f51668620fdc60a completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be4737c481909ee9600b9045787b completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf4f8d0081909483a89498402f7c completed May 14, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a05bfe2ab5c8190a969f060b01ee913 completed May 14, 2026, 12:28 p.m.
Created at: April 10, 2026, 12:01 p.m.