Triple

T10129258
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Qasim Fahim E226292 entity
Predicate familyName P18 FINISHED
Object Fahim
Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
E842676 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: Fahim | Statement: [Mohammad Qasim Fahim, familyName, Fahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fahim
Context triple: [Mohammad Qasim Fahim, familyName, Fahim]
  • A. 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.
  • B. Hanif
    Hanif is a town and commune located within Bouira Province in northern Algeria.
  • C. Faizi
    Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
  • D. Shahriar
    Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
  • E. Jamal
    Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
  • 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: Fahim
Triple: [Mohammad Qasim Fahim, familyName, Fahim]
Generated description
Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fahim
Target entity description: Fahim is a surname most notably associated with Mohammad Qasim Fahim, a prominent Afghan military commander and political leader.
  • A. 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.
  • B. Hanif
    Hanif is a town and commune located within Bouira Province in northern Algeria.
  • C. Faizi
    Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
  • D. Shahriar
    Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
  • E. Jamal
    Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd333186c819088bbf617967f24fa completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc7c50b08190a04aa2f58a6c300a completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cecd67448190a28a90148ad83c20 completed April 5, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69d2cf4d259881909f44bf1ec39524de completed April 5, 2026, 9:08 p.m.
Created at: March 30, 2026, 9:05 p.m.