Triple

T7867745
Position Surface form Disambiguated ID Type / Status
Subject Bassel al-Assad E182659 entity
Predicate givenName P17 FINISHED
Object Bassel
Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
 E701369 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: Bassel | Statement: [Bassel al-Assad, givenName, Bassel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bassel
Context triple: [Bassel al-Assad, givenName, Bassel]
  • A. Sanaa
    Sanaa is a table-service restaurant at Disney’s Animal Kingdom Lodge known for its African-inspired cuisine with Indian flavors and savanna views of roaming wildlife.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • D. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • E. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • 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: Bassel
Triple: [Bassel al-Assad, givenName, Bassel]
Generated description
Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bassel
Target entity description: Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
  • A. Sanaa
    Sanaa is a table-service restaurant at Disney’s Animal Kingdom Lodge known for its African-inspired cuisine with Indian flavors and savanna views of roaming wildlife.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • D. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • E. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3847c7fc819098e32b6548943da7 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b60b3b08190832837bacb8ce965 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:55 p.m.