Triple
T7693129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 shooting of Malala Yousafzai |
E174297
|
entity |
| Predicate | injured |
P3816
|
FINISHED |
| Object | Kainat Riaz |
E682744
|
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: Kainat Riaz | Statement: [2012 shooting of Malala Yousafzai, injured, 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, injured, Kainat Riaz]
-
A.
Kainat Riaz
chosen
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.
-
B.
Majeed Amjad
Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
-
C.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
D.
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.
-
E.
M. S. Khan
M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
- 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_69c8be22dd6481908bb4c1afaf65bcb4 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:02 p.m.