Triple

T4755424
Position Surface form Disambiguated ID Type / Status
Subject Wallenberg Medal E105574 entity
Predicate hasRecipient P108 FINISHED
Object Razia Jan
Razia Jan is an Afghan-born humanitarian and educator known for founding a girls’ school in Afghanistan and advocating for girls’ education and rights in the region.
E469377 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: Razia Jan | Statement: [Wallenberg Medal, hasRecipient, Razia Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razia Jan
Context triple: [Wallenberg Medal, hasRecipient, Razia Jan]
  • A. Rifa’at Begum
    Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
  • B. Bilquis Hyder
    Bilquis Hyder is a central female character in Salman Rushdie’s novel "Shame," embodying themes of power, tradition, and the complexities of Pakistani society.
  • C. Gulrukh Begum
    Gulrukh Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • D. Shahzadi Khanam
    Shahzadi Khanam was a Mughal-era noblewoman best known as the daughter of the Bengal Nawab Alivardi Khan.
  • E. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • 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: Razia Jan
Triple: [Wallenberg Medal, hasRecipient, Razia Jan]
Generated description
Razia Jan is an Afghan-born humanitarian and educator known for founding a girls’ school in Afghanistan and advocating for girls’ education and rights in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Razia Jan
Target entity description: Razia Jan is an Afghan-born humanitarian and educator known for founding a girls’ school in Afghanistan and advocating for girls’ education and rights in the region.
  • A. Rifa’at Begum
    Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
  • B. Bilquis Hyder
    Bilquis Hyder is a central female character in Salman Rushdie’s novel "Shame," embodying themes of power, tradition, and the complexities of Pakistani society.
  • C. Gulrukh Begum
    Gulrukh Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • D. Shahzadi Khanam
    Shahzadi Khanam was a Mughal-era noblewoman best known as the daughter of the Bengal Nawab Alivardi Khan.
  • E. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e9d80c819088532921a46ea1d6 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b54f548190b6118305d2a9f8d4 completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be443674b081909a4fc17c6a087198 completed March 21, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69be44e6f9108190bd27468aa966b60a completed March 21, 2026, 7:12 a.m.
Created at: March 20, 2026, 1:20 p.m.