Triple

T16282835
Position Surface form Disambiguated ID Type / Status
Subject Ealing Southall E395311 entity
Predicate hasMP P14470 FINISHED
Object 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.
 E1215968 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: Virendra Sharma | Statement: [Ealing Southall, hasMP, Virendra Sharma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virendra Sharma
Context triple: [Ealing Southall, hasMP, Virendra Sharma]
  • A. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • B. Veerendra Saxena
    Veerendra Saxena is an Indian actor known for his character roles in Hindi films and television.
  • C. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • 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. Vinai Kumar Saxena
    Vinai Kumar Saxena is an Indian administrator and former chairman of the Khadi and Village Industries Commission who serves as the Lieutenant Governor of Delhi.
  • 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: Virendra Sharma
Triple: [Ealing Southall, hasMP, Virendra Sharma]
Generated description
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virendra Sharma
Target entity description: Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
  • A. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • B. Veerendra Saxena
    Veerendra Saxena is an Indian actor known for his character roles in Hindi films and television.
  • C. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • 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. Vinai Kumar Saxena
    Vinai Kumar Saxena is an Indian administrator and former chairman of the Khadi and Village Industries Commission who serves as the Lieutenant Governor of Delhi.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24911f11881909c98ddf829f077e9 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
NEDg Description generation batch_6a005874858881908eb3549cbabdf44b completed May 10, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a005917197c8190988b3b1960887b6d completed May 10, 2026, 10:08 a.m.
Created at: April 10, 2026, 5:05 a.m.