Triple

T7097526
Position Surface form Disambiguated ID Type / Status
Subject Nassef Sawiris E165369 entity
Predicate givenName P17 FINISHED
Object Nassef
Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
 E641529 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: Nassef | Statement: [Nassef Sawiris, givenName, Nassef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nassef
Context triple: [Nassef Sawiris, givenName, Nassef]
  • A. Nasr
    Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
  • B. Orabi
    Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
  • C. Rifa'a
    Rifa'a is a key character in Naguib Mahfouz’s novel "Children of Gebelawi," often seen as a symbolic, prophetic figure within the allegorical narrative of the Gebelawi family.
  • D. Nawaf
    Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
  • 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: Nassef
Triple: [Nassef Sawiris, givenName, Nassef]
Generated description
Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nassef
Target entity description: Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
  • A. Nasr
    Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
  • B. Orabi
    Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
  • C. Rifa'a
    Rifa'a is a key character in Naguib Mahfouz’s novel "Children of Gebelawi," often seen as a symbolic, prophetic figure within the allegorical narrative of the Gebelawi family.
  • D. Nawaf
    Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5561dd08190be6b784754a0c1bc completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca2be7c8190b5a8c6f2c64a0d8d completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:41 p.m.