Triple

T2714265
Position Surface form Disambiguated ID Type / Status
Subject Sal Khan E59930 entity
Predicate spouse P13 FINISHED
Object Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
E293803 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: Umaima Marvi | Statement: [Sal Khan, spouse, Umaima Marvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umaima Marvi
Context triple: [Sal Khan, spouse, Umaima Marvi]
  • A. Hina Jilani
    Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
  • B. Naheed Mirza
    Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
  • C. Sufiya Zinobia
    Sufiya Zinobia is a central character in Salman Rushdie’s novel "Shame," symbolizing purity, repression, and the violent consequences of societal and familial pressures in a fictionalized Pakistan.
  • D. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • E. Hindal Mirza
    Hindal Mirza was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
  • 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: Umaima Marvi
Triple: [Sal Khan, spouse, Umaima Marvi]
Generated description
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Umaima Marvi
Target entity description: Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
  • A. Hina Jilani
    Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
  • B. Naheed Mirza
    Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
  • C. Sufiya Zinobia
    Sufiya Zinobia is a central character in Salman Rushdie’s novel "Shame," symbolizing purity, repression, and the violent consequences of societal and familial pressures in a fictionalized Pakistan.
  • D. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • E. Hindal Mirza
    Hindal Mirza was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb687f6a081909ab1ba98a6ecc60f completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7c0ac9c819088939e2a20e74c24 completed March 10, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69afb84d36488190b49b05f2d5398627 completed March 10, 2026, 6:21 a.m.
Created at: March 6, 2026, 9:55 p.m.