Triple

T12715672
Position Surface form Disambiguated ID Type / Status
Subject Asma al-Assad E303831 entity
Predicate parent P120 FINISHED
Object Sahar Otri Akhras
Sahar Otri Akhras is a Syrian-born cardiologist and the mother of Asma al-Assad, the First Lady of Syria.
E999665 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: Sahar Otri Akhras | Statement: [Asma al-Assad, parent, Sahar Otri Akhras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahar Otri Akhras
Context triple: [Asma al-Assad, parent, Sahar Otri Akhras]
  • A. Haya Harareet
    Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
  • B. Raji Sourani
    Raji Sourani is a prominent Palestinian human rights lawyer and activist known for his longstanding work documenting abuses and advocating for justice in the Gaza Strip.
  • C. Khweldi Hameidi
    Khweldi Hameidi was a senior Libyan military officer and close associate of Muammar Gaddafi who played a key role in the 1969 coup and the subsequent governance of Libya.
  • D. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • E. Sediqa Massoud
    Sediqa Massoud is the widow of famed Afghan resistance leader Ahmad Shah Massoud and a prominent advocate for women's rights and education in Afghanistan.
  • 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: Sahar Otri Akhras
Triple: [Asma al-Assad, parent, Sahar Otri Akhras]
Generated description
Sahar Otri Akhras is a Syrian-born cardiologist and the mother of Asma al-Assad, the First Lady of Syria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sahar Otri Akhras
Target entity description: Sahar Otri Akhras is a Syrian-born cardiologist and the mother of Asma al-Assad, the First Lady of Syria.
  • A. Haya Harareet
    Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
  • B. Raji Sourani
    Raji Sourani is a prominent Palestinian human rights lawyer and activist known for his longstanding work documenting abuses and advocating for justice in the Gaza Strip.
  • C. Khweldi Hameidi
    Khweldi Hameidi was a senior Libyan military officer and close associate of Muammar Gaddafi who played a key role in the 1969 coup and the subsequent governance of Libya.
  • D. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • E. Sediqa Massoud
    Sediqa Massoud is the widow of famed Afghan resistance leader Ahmad Shah Massoud and a prominent advocate for women's rights and education in Afghanistan.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c802e248190865a6561ad1bf0b6 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:23 p.m.