Triple

T3661741
Position Surface form Disambiguated ID Type / Status
Subject Kumail Nanjiani E77664 entity
Predicate givenName P17 FINISHED
Object Kumail
Kumail is a Pakistani-American comedian and actor best known for his work on the TV series "Silicon Valley" and the film "The Big Sick."
 E377776 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: Kumail | Statement: [Kumail Nanjiani, givenName, Kumail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumail
Context triple: [Kumail Nanjiani, givenName, Kumail]
  • A. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • B. Aziz
    Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
  • C. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • D. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • E. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • 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: Kumail
Triple: [Kumail Nanjiani, givenName, Kumail]
Generated description
Kumail is a Pakistani-American comedian and actor best known for his work on the TV series "Silicon Valley" and the film "The Big Sick."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumail
Target entity description: Kumail is a Pakistani-American comedian and actor best known for his work on the TV series "Silicon Valley" and the film "The Big Sick."
  • A. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • B. Aziz
    Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
  • C. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • D. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • E. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b4898cae348190871b63b8aabef963 completed March 13, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69b4af2032188190b29939d5dc19ccd1 completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:25 p.m.