Triple

T7224695
Position Surface form Disambiguated ID Type / Status
Subject Al-Asma ul-Husna E150348 entity
Predicate includesName P13147 FINISHED
Object Al-Wadud
Al-Wadud is one of the 99 Names of Allah in Islam, signifying God as the Most Loving and Affectionate toward His creation.
 E653793 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: Al-Wadud | Statement: [Al-Asma ul-Husna, includesName, Al-Wadud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Wadud
Context triple: [Al-Asma ul-Husna, includesName, Al-Wadud]
  • A. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • B. Al-Wahid
    Al-Wahid is one of the names of God in Islamic theology, emphasizing His absolute oneness and uniqueness as the sole divine being.
  • C. Hussaini
    Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
  • D. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • E. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • 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: Al-Wadud
Triple: [Al-Asma ul-Husna, includesName, Al-Wadud]
Generated description
Al-Wadud is one of the 99 Names of Allah in Islam, signifying God as the Most Loving and Affectionate toward His creation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al-Wadud
Target entity description: Al-Wadud is one of the 99 Names of Allah in Islam, signifying God as the Most Loving and Affectionate toward His creation.
  • A. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • B. Al-Wahid
    Al-Wahid is one of the names of God in Islamic theology, emphasizing His absolute oneness and uniqueness as the sole divine being.
  • C. Hussaini
    Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
  • D. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • E. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db092ed481908f478860418eb0bd completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbf65fb08190ae8a9c4e57d42e97 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:54 p.m.