Triple

T19911786
Position Surface form Disambiguated ID Type / Status
Subject Gurdaspur Lok Sabha constituency E478563 entity
Predicate notableFormerMP P14473 FINISHED
Object Sunil Jakhar
Sunil Jakhar is an Indian politician from Punjab who has served as a Member of Parliament and held prominent roles in state and national politics.
E1407916 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: Sunil Jakhar | Statement: [Gurdaspur Lok Sabha constituency, notableFormerMP, Sunil Jakhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunil Jakhar
Context triple: [Gurdaspur Lok Sabha constituency, notableFormerMP, Sunil Jakhar]
  • A. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • B. Virendra Sharma
    Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
  • C. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • D. Ajit Bhawan
    Ajit Bhawan is a historic royal residence in Jodhpur that has been converted into a luxury heritage hotel associated with the Jodhpur royal family.
  • E. Ashok Mishra
    Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
  • 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: Sunil Jakhar
Triple: [Gurdaspur Lok Sabha constituency, notableFormerMP, Sunil Jakhar]
Generated description
Sunil Jakhar is an Indian politician from Punjab who has served as a Member of Parliament and held prominent roles in state and national politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sunil Jakhar
Target entity description: Sunil Jakhar is an Indian politician from Punjab who has served as a Member of Parliament and held prominent roles in state and national politics.
  • A. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • B. Virendra Sharma
    Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
  • C. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • D. Ajit Bhawan
    Ajit Bhawan is a historic royal residence in Jodhpur that has been converted into a luxury heritage hotel associated with the Jodhpur royal family.
  • E. Ashok Mishra
    Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659908ba88190ae0ee0fbfe4ddf64 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e13e3908190acd972c79928228b completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a0811da4d08819087071da5e46acb37 completed May 16, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a081269f1cc8190ab30b8a0c6022505 completed May 16, 2026, 6:44 a.m.
Created at: April 10, 2026, 1:53 p.m.