Triple

T3943493
Position Surface form Disambiguated ID Type / Status
Subject Kais Saied E92089 entity
Predicate familyName P18 FINISHED
Object Saied
Saied is the family name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of power.
 E402363 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: Saied | Statement: [Kais Saied, familyName, Saied]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saied
Context triple: [Kais Saied, familyName, Saied]
  • A. Sadaat
    Sadaat are individuals recognized as Sayyids, traditionally regarded as descendants of the Islamic prophet Muhammad through his daughter Fatimah and son-in-law Ali.
  • B. Mousa Ghani
    Mousa Ghani is a supporting character in the action film "Rambo III," serving as an Afghan guide and ally to John Rambo during his mission.
  • C. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • D. حسين
    حسين هو اسم علم عربي شائع يُستخدم غالباً للذكور ويحمل دلالات دينية وتاريخية بارزة في الثقافة الإسلامية.
  • E. 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.
  • 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: Saied
Triple: [Kais Saied, familyName, Saied]
Generated description
Saied is the family name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saied
Target entity description: Saied is the family name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of power.
  • A. Sadaat
    Sadaat are individuals recognized as Sayyids, traditionally regarded as descendants of the Islamic prophet Muhammad through his daughter Fatimah and son-in-law Ali.
  • B. Mousa Ghani
    Mousa Ghani is a supporting character in the action film "Rambo III," serving as an Afghan guide and ally to John Rambo during his mission.
  • C. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • D. حسين
    حسين هو اسم علم عربي شائع يُستخدم غالباً للذكور ويحمل دلالات دينية وتاريخية بارزة في الثقافة الإسلامية.
  • E. 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.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeee00d94881908fcf5ee1e27b1658 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53394eccc8190a58534e749e24b07 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b537609cfc8190a5eee10f24e5626f completed March 14, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69b537cf56188190af7046a498b58892 completed March 14, 2026, 10:26 a.m.
Created at: March 9, 2026, 3:24 p.m.