Triple

T23266076
Position Surface form Disambiguated ID Type / Status
Subject Akmal Ikramov E588150 entity
Predicate givenName P17 FINISHED
Object Akmal
Akmal is a masculine given name commonly used in various Muslim-majority countries, particularly in Central and South Asia.
 E1576532 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: Akmal | Statement: [Akmal Ikramov, givenName, Akmal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akmal
Context triple: [Akmal Ikramov, givenName, Akmal]
  • A. Azam
    Azam is a given name, notably borne by Muhammad Azam Shah, a Mughal emperor of India.
  • B. Akhmad
    Akhmad is a masculine given name of Arabic origin, commonly used in various Muslim-majority regions and cultures.
  • C. Ajmal
    Ajmal is a given name, notably borne by the prominent Indian physician and freedom fighter Hakim Ajmal Khan.
  • D. Abdullahzai
    Abdullahzai is a Pashtun clan that forms part of the larger Tareen tribe in Afghanistan and Pakistan.
  • E. Kamran
    Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
  • 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: Akmal
Triple: [Akmal Ikramov, givenName, Akmal]
Generated description
Akmal is a masculine given name commonly used in various Muslim-majority countries, particularly in Central and South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akmal
Target entity description: Akmal is a masculine given name commonly used in various Muslim-majority countries, particularly in Central and South Asia.
  • A. Azam
    Azam is a given name, notably borne by Muhammad Azam Shah, a Mughal emperor of India.
  • B. Akhmad
    Akhmad is a masculine given name of Arabic origin, commonly used in various Muslim-majority regions and cultures.
  • C. Ajmal
    Ajmal is a given name, notably borne by the prominent Indian physician and freedom fighter Hakim Ajmal Khan.
  • D. Abdullahzai
    Abdullahzai is a Pashtun clan that forms part of the larger Tareen tribe in Afghanistan and Pakistan.
  • E. Kamran
    Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f194cd13b48190a9c282545a34f348 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f723d4081909c2ff75ba4ada497 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405be1188190b6622665e448bbe7 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:36 p.m.