Triple

T7693130
Position Surface form Disambiguated ID Type / Status
Subject 2012 shooting of Malala Yousafzai E174297 entity
Predicate injured P3816 FINISHED
Object Shazia Ramzan E685128 NE FINISHED

How this triple was built (2 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: Shazia Ramzan | Statement: [2012 shooting of Malala Yousafzai, injured, Shazia Ramzan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shazia Ramzan
Context triple: [2012 shooting of Malala Yousafzai, injured, Shazia Ramzan]
  • A. Shazia Ramzan chosen
    Shazia Ramzan is a Pakistani woman who, as a schoolgirl and classmate of Malala Yousafzai, was seriously wounded in the 2012 Taliban attack targeting Malala and later became an advocate for girls’ education.
  • B. Naheed Mirza
    Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
  • C. Umaima Marvi
    Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c8c7b8b1fc8190a3c81c0ee018bb97 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:02 p.m.