Triple

T764232
Position Surface form Disambiguated ID Type / Status
Subject Aurangzeb E16138 entity
Predicate child P120 FINISHED
Object Zeb-un-Nissa
Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
 E97359 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: Zeb-un-Nissa | Statement: [Aurangzeb, child, Zeb-un-Nissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zeb-un-Nissa
Context triple: [Aurangzeb, child, Zeb-un-Nissa]
  • A. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • B. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • C. Ijesha
    Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
  • D. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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: Zeb-un-Nissa
Triple: [Aurangzeb, child, Zeb-un-Nissa]
Generated description
Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zeb-un-Nissa
Target entity description: Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
  • A. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • B. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • C. Ijesha
    Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
  • D. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d78649c8190969a3c0c2b5a8e4d completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78cae18fc81908fabe38c97b71184 completed March 4, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69a78d2f349081908273db1e68b7f15e completed March 4, 2026, 1:38 a.m.
Created at: March 1, 2026, 7:37 p.m.