Triple

T19025530
Position Surface form Disambiguated ID Type / Status
Subject Fazlur Rahman E465599 entity
Predicate givenName P17 FINISHED
Object Fazlur
Fazlur is a masculine given name commonly used in South Asian and Muslim communities, often as part of compound names.
E1354428 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: Fazlur | Statement: [Fazlur Rahman, givenName, Fazlur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fazlur
Context triple: [Fazlur Rahman, givenName, Fazlur]
  • A. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • B. Sharif
    Sharif is an honorific title in the Islamic world traditionally denoting a noble person descended from the Prophet Muhammad, particularly through the lineage of the Sayyids.
  • C. AbRam Khan
    AbRam Khan is the youngest son of Bollywood superstar Shah Rukh Khan and Gauri Khan, often in the public eye due to his famous family.
  • D. Art Malik
    Art Malik is a British-Pakistani actor best known for his prominent roles in films and television dramas such as "A Passage to India" and "The Jewel in the Crown."
  • E. Mohammed J. Zaki
    Mohammed J. Zaki is a computer scientist known for his influential research in data mining and frequent pattern discovery, as well as his leadership and service within the data science and KDD communities.
  • 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: Fazlur
Triple: [Fazlur Rahman, givenName, Fazlur]
Generated description
Fazlur is a masculine given name commonly used in South Asian and Muslim communities, often as part of compound names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fazlur
Target entity description: Fazlur is a masculine given name commonly used in South Asian and Muslim communities, often as part of compound names.
  • A. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • B. Sharif
    Sharif is an honorific title in the Islamic world traditionally denoting a noble person descended from the Prophet Muhammad, particularly through the lineage of the Sayyids.
  • C. AbRam Khan
    AbRam Khan is the youngest son of Bollywood superstar Shah Rukh Khan and Gauri Khan, often in the public eye due to his famous family.
  • D. Art Malik
    Art Malik is a British-Pakistani actor best known for his prominent roles in films and television dramas such as "A Passage to India" and "The Jewel in the Crown."
  • E. Mohammed J. Zaki
    Mohammed J. Zaki is a computer scientist known for his influential research in data mining and frequent pattern discovery, as well as his leadership and service within the data science and KDD communities.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e271848190b67ad08af35b6796 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be56412081909ff1053248e7145a completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bfc05b70819081466bad1b6fdda1 completed May 14, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a05c0283b08819089ad422861efbcbb completed May 14, 2026, 12:29 p.m.
Created at: April 10, 2026, 12:02 p.m.