Triple

T11443421
Position Surface form Disambiguated ID Type / Status
Subject Hezb-e Islami Gulbuddin E271200 entity
Predicate notableCommander P1197 FINISHED
Object Khalid Farooqi
Khalid Farooqi is a military commander associated with the Afghan Islamist political and militant organization Hezb-e Islami Gulbuddin.
E927071 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: Khalid Farooqi | Statement: [Hezb-e Islami Gulbuddin, notableCommander, Khalid Farooqi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khalid Farooqi
Context triple: [Hezb-e Islami Gulbuddin, notableCommander, Khalid Farooqi]
  • A. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • B. Qasim Razvi
    Qasim Razvi was a hardline political leader of the Razakar militia in the princely state of Hyderabad who fiercely opposed its integration into independent India.
  • C. Qais Khan
    Qais Khan is an actor known for his role in the television series "Tehran."
  • D. Asif Iqbal
    Asif Iqbal is a former Guantánamo Bay detainee and British resident who challenged his detention in the landmark U.S. Supreme Court case Rasul v. Bush.
  • E. Zafar Saifullah
    Zafar Saifullah was a senior Indian civil servant who served as Cabinet Secretary and held several key administrative positions in the Government of India.
  • 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: Khalid Farooqi
Triple: [Hezb-e Islami Gulbuddin, notableCommander, Khalid Farooqi]
Generated description
Khalid Farooqi is a military commander associated with the Afghan Islamist political and militant organization Hezb-e Islami Gulbuddin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khalid Farooqi
Target entity description: Khalid Farooqi is a military commander associated with the Afghan Islamist political and militant organization Hezb-e Islami Gulbuddin.
  • A. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • B. Qasim Razvi
    Qasim Razvi was a hardline political leader of the Razakar militia in the princely state of Hyderabad who fiercely opposed its integration into independent India.
  • C. Qais Khan
    Qais Khan is an actor known for his role in the television series "Tehran."
  • D. Asif Iqbal
    Asif Iqbal is a former Guantánamo Bay detainee and British resident who challenged his detention in the landmark U.S. Supreme Court case Rasul v. Bush.
  • E. Zafar Saifullah
    Zafar Saifullah was a senior Indian civil servant who served as Cabinet Secretary and held several key administrative positions in the Government of India.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d808891b7481908bf5a80cb7644061 completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8f8049881909c1a52101e4620b3 completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5f1557e9c8190b53ce391793b2c7f completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f863bf7c81908969ed0a5b99f032 completed April 20, 2026, 9:56 a.m.
Created at: April 8, 2026, 9:35 p.m.