Triple

T6986279
Position Surface form Disambiguated ID Type / Status
Subject Abdullah Haroon E161970 entity
Predicate familyName P18 FINISHED
Object Haroon
Haroon is a family name of Arabic origin commonly used in South Asian Muslim communities, notably borne by figures such as Pakistani politician and philanthropist Abdullah Haroon.
 E635086 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: Haroon | Statement: [Abdullah Haroon, familyName, Haroon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haroon
Context triple: [Abdullah Haroon, familyName, Haroon]
  • A. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • B. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • C. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • 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: Haroon
Triple: [Abdullah Haroon, familyName, Haroon]
Generated description
Haroon is a family name of Arabic origin commonly used in South Asian Muslim communities, notably borne by figures such as Pakistani politician and philanthropist Abdullah Haroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haroon
Target entity description: Haroon is a family name of Arabic origin commonly used in South Asian Muslim communities, notably borne by figures such as Pakistani politician and philanthropist Abdullah Haroon.
  • A. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • B. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • C. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db93c0ac8190a752a633247bb439 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a110ca08190be2aa78948379495 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76ad455e08190b652f0b4d9ca7c62 completed March 28, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69c76b992414819094cad40df720e39a completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:32 p.m.