Triple

T8081002
Position Surface form Disambiguated ID Type / Status
Subject Bushra al-Assad E188614 entity
Predicate givenName P17 FINISHED
Object Bushra
Bushra is a feminine given name of Arabic origin commonly used in various Muslim-majority countries.
 E711053 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: Bushra | Statement: [Bushra al-Assad, givenName, Bushra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bushra
Context triple: [Bushra al-Assad, givenName, Bushra]
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Bilqis
    Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
  • C. Sabika
    Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
  • D. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • E. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • 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: Bushra
Triple: [Bushra al-Assad, givenName, Bushra]
Generated description
Bushra is a feminine given name of Arabic origin commonly used in various Muslim-majority countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bushra
Target entity description: Bushra is a feminine given name of Arabic origin commonly used in various Muslim-majority countries.
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Bilqis
    Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
  • C. Sabika
    Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
  • D. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • E. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a504d48190ace96e814d99b182 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63fba1148190b8d0f04faa5330a1 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc694d861c8190b504352c1fad2c36 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:28 p.m.