Triple

T8669308
Position Surface form Disambiguated ID Type / Status
Subject Jagdeep Dhankhar E205754 entity
Predicate hasChild P369 FINISHED
Object Kamna Dhankhar
Kamna Dhankhar is the daughter of Indian politician and current Vice President Jagdeep Dhankhar.
E752376 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: Kamna Dhankhar | Statement: [Jagdeep Dhankhar, hasChild, Kamna Dhankhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamna Dhankhar
Context triple: [Jagdeep Dhankhar, hasChild, Kamna Dhankhar]
  • A. Sudesh Dhankhar
    Sudesh Dhankhar is the wife of Indian politician and current Vice President of India, Jagdeep Dhankhar.
  • B. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • C. Chitra Singh
    Chitra Singh is an acclaimed Indian ghazal singer, best known for her soulful duets with her late husband Jagjit Singh and for popularizing modern ghazal music.
  • D. Renu Saluja
    Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
  • E. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • 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: Kamna Dhankhar
Triple: [Jagdeep Dhankhar, hasChild, Kamna Dhankhar]
Generated description
Kamna Dhankhar is the daughter of Indian politician and current Vice President Jagdeep Dhankhar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamna Dhankhar
Target entity description: Kamna Dhankhar is the daughter of Indian politician and current Vice President Jagdeep Dhankhar.
  • A. Sudesh Dhankhar
    Sudesh Dhankhar is the wife of Indian politician and current Vice President of India, Jagdeep Dhankhar.
  • B. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • C. Chitra Singh
    Chitra Singh is an acclaimed Indian ghazal singer, best known for her soulful duets with her late husband Jagjit Singh and for popularizing modern ghazal music.
  • D. Renu Saluja
    Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
  • E. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf286a364c8190b7f4f9d8243e2548 completed April 3, 2026, 2:39 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:31 p.m.