Triple

T9169758
Position Surface form Disambiguated ID Type / Status
Subject Mahbub ul Haq E220052 entity
Predicate familyName P18 FINISHED
Object Haq
Haq is a common surname of Arabic origin used across South Asia and the Muslim world, often associated with scholars, public figures, and professionals.
 E782669 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: Haq | Statement: [Mahbub ul Haq, familyName, Haq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haq
Context triple: [Mahbub ul Haq, familyName, Haq]
  • A. Haqniq
    Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
  • B. Haql
    Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
  • C. Is-haq
    Is-haq is an alternative transliteration of the Arabic name Ishaq, corresponding to the biblical figure Isaac and commonly used in Islamic and Middle Eastern contexts.
  • D. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • E. Haqqani
    Haqqani is the family name associated with the influential Afghan militant leader Jalaluddin Haqqani and the network he founded.
  • 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: Haq
Triple: [Mahbub ul Haq, familyName, Haq]
Generated description
Haq is a common surname of Arabic origin used across South Asia and the Muslim world, often associated with scholars, public figures, and professionals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haq
Target entity description: Haq is a common surname of Arabic origin used across South Asia and the Muslim world, often associated with scholars, public figures, and professionals.
  • A. Haqniq
    Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
  • B. Haql
    Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
  • C. Is-haq
    Is-haq is an alternative transliteration of the Arabic name Ishaq, corresponding to the biblical figure Isaac and commonly used in Islamic and Middle Eastern contexts.
  • D. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • E. Haqqani
    Haqqani is the family name associated with the influential Afghan militant leader Jalaluddin Haqqani and the network he founded.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae0f3148190b111b22902cdb86c completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549746b0819099c2a591900f9c8c completed April 4, 2026, midnight
NEDg Description generation batch_69d0558aeb7c8190a638e81bd0a6b47a completed April 4, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69d0598de6388190a535748893dfb09c completed April 4, 2026, 12:21 a.m.
Created at: March 30, 2026, 7:22 p.m.