Triple

T3299214
Position Surface form Disambiguated ID Type / Status
Subject Hindal Mirza E69288 entity
Predicate givenName P17 FINISHED
Object Hindal
Hindal was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
 E347558 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: Hindal | Statement: [Hindal Mirza, givenName, Hindal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hindal
Context triple: [Hindal Mirza, givenName, Hindal]
  • A. Kaghan
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • B. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • E. Gurkani
    Gurkani refers to the dynastic title and lineage name adopted by Timur and his successors to emphasize their claimed descent from Genghis Khan through marriage ties.
  • 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: Hindal
Triple: [Hindal Mirza, givenName, Hindal]
Generated description
Hindal was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hindal
Target entity description: Hindal was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
  • A. Kaghan
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • B. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • E. Gurkani
    Gurkani refers to the dynastic title and lineage name adopted by Timur and his successors to emphasize their claimed descent from Genghis Khan through marriage ties.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2f9ec098c8190aaa763d7b9c5cceb completed March 12, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69b316408090819090a4792b3d5185f0 completed March 12, 2026, 7:38 p.m.
Created at: March 8, 2026, 3:11 p.m.