Triple

T7027949
Position Surface form Disambiguated ID Type / Status
Subject Arif Zahir E163195 entity
Predicate givenName P17 FINISHED
Object Arif
Arif is a masculine given name commonly used in various cultures, particularly in Arabic-speaking and Muslim-majority countries, meaning "knowledgeable" or "wise."
 E638609 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: Arif | Statement: [Arif Zahir, givenName, Arif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arif
Context triple: [Arif Zahir, givenName, Arif]
  • A. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • B. Rafiq
    Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
  • C. Ashfaq
    Ashfaq is the given name of Ashfaqulla Khan, an Indian freedom fighter and revolutionary associated with the Hindustan Republican Association during the struggle against British rule.
  • D. Azeem
    Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
  • E. Habib
    Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
  • 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: Arif
Triple: [Arif Zahir, givenName, Arif]
Generated description
Arif is a masculine given name commonly used in various cultures, particularly in Arabic-speaking and Muslim-majority countries, meaning "knowledgeable" or "wise."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arif
Target entity description: Arif is a masculine given name commonly used in various cultures, particularly in Arabic-speaking and Muslim-majority countries, meaning "knowledgeable" or "wise."
  • A. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • B. Rafiq
    Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
  • C. Ashfaq
    Ashfaq is the given name of Ashfaqulla Khan, an Indian freedom fighter and revolutionary associated with the Hindustan Republican Association during the struggle against British rule.
  • D. Azeem
    Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
  • E. Habib
    Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fee32081908eff988b18daa6d0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7885d83d4819099cc334dd2841f3b completed March 28, 2026, 7:50 a.m.
NEDg Description generation batch_69c789c962b081909cff8b58c87f224e completed March 28, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69c78a9675b4819087836dfc438df9f0 completed March 28, 2026, 8 a.m.
Created at: March 27, 2026, 2:35 p.m.