Triple

T7693126
Position Surface form Disambiguated ID Type / Status
Subject 2012 shooting of Malala Yousafzai E174297 entity
Predicate victim P870 FINISHED
Object Kainat Riaz
Kainat Riaz is a Pakistani student and education activist who was injured alongside Malala Yousafzai in the 2012 Taliban attack targeting schoolgirls in Swat Valley.
E682744 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: Kainat Riaz | Statement: [2012 shooting of Malala Yousafzai, victim, Kainat Riaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainat Riaz
Context triple: [2012 shooting of Malala Yousafzai, victim, Kainat Riaz]
  • A. Majeed Amjad
    Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
  • B. Umaima Marvi
    Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
  • C. 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.
  • D. M. S. Khan
    M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
  • E. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • 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: Kainat Riaz
Triple: [2012 shooting of Malala Yousafzai, victim, Kainat Riaz]
Generated description
Kainat Riaz is a Pakistani student and education activist who was injured alongside Malala Yousafzai in the 2012 Taliban attack targeting schoolgirls in Swat Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kainat Riaz
Target entity description: Kainat Riaz is a Pakistani student and education activist who was injured alongside Malala Yousafzai in the 2012 Taliban attack targeting schoolgirls in Swat Valley.
  • A. Majeed Amjad
    Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
  • B. Umaima Marvi
    Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
  • C. 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.
  • D. M. S. Khan
    M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
  • E. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7024481448190b32ba04e8792f15a completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8aca5f3388190b25e70caa364d712 completed March 29, 2026, 4:37 a.m.
NEDg Description generation batch_69c8adeb3948819087404b0d7d7e619e completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8aedede388190b8eb79cea223c31c completed March 29, 2026, 4:47 a.m.
Created at: March 27, 2026, 4:02 p.m.