Triple

T18618435
Position Surface form Disambiguated ID Type / Status
Subject Raif Badawi E455088 entity
Predicate hasChild P369 FINISHED
Object Najwa Badawi
Najwa Badawi is one of the children of Saudi blogger and human rights activist Raif Badawi.
E1333342 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: Najwa Badawi | Statement: [Raif Badawi, hasChild, Najwa Badawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najwa Badawi
Context triple: [Raif Badawi, hasChild, Najwa Badawi]
  • A. Tahani Al-Jamil
    Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
  • B. 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.
  • C. Asmahan Arslan
    Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
  • D. Shereen Reda
    Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
  • E. Hanan al-Shaykh
    Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
  • 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: Najwa Badawi
Triple: [Raif Badawi, hasChild, Najwa Badawi]
Generated description
Najwa Badawi is one of the children of Saudi blogger and human rights activist Raif Badawi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Najwa Badawi
Target entity description: Najwa Badawi is one of the children of Saudi blogger and human rights activist Raif Badawi.
  • A. Tahani Al-Jamil
    Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
  • B. 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.
  • C. Asmahan Arslan
    Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
  • D. Shereen Reda
    Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
  • E. Hanan al-Shaykh
    Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050390bd4c8190b623f08a12eee39b completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a050455e6e8819084927b1c2d4a5237 completed May 13, 2026, 11:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 11:46 a.m.