Triple

T14501525
Position Surface form Disambiguated ID Type / Status
Subject Hakim Ajmal Khan E340151 entity
Predicate givenName P17 FINISHED
Object Ajmal
Ajmal is a given name, notably borne by the prominent Indian physician and freedom fighter Hakim Ajmal Khan.
E1102594 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: Ajmal | Statement: [Hakim Ajmal Khan, givenName, Ajmal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajmal
Context triple: [Hakim Ajmal Khan, givenName, Ajmal]
  • A. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • B. Asmal
    Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
  • C. Jamal
    Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
  • D. Jamal
    Jamal is a fictional character from the 2007 Christmas-themed romantic comedy film "The Perfect Holiday."
  • E. Hamzaa
    Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
  • 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: Ajmal
Triple: [Hakim Ajmal Khan, givenName, Ajmal]
Generated description
Ajmal is a given name, notably borne by the prominent Indian physician and freedom fighter Hakim Ajmal Khan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ajmal
Target entity description: Ajmal is a given name, notably borne by the prominent Indian physician and freedom fighter Hakim Ajmal Khan.
  • A. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • B. Asmal
    Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
  • C. Jamal
    Jamal is the given name of Jamal Adeen Thomas, the son of U.S. Supreme Court Justice Clarence Thomas.
  • D. Jamal
    Jamal is a fictional character from the 2007 Christmas-themed romantic comedy film "The Perfect Holiday."
  • E. Hamzaa
    Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.