Triple

T17398655
Position Surface form Disambiguated ID Type / Status
Subject Lord Paul of Marylebone E423023 entity
Predicate name P16 FINISHED
Object Swraj Paul
Swraj Paul, Baron Paul of Marylebone, is a British-Indian industrialist, philanthropist, and Labour life peer in the UK House of Lords.
E1268415 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: Swraj Paul | Statement: [Lord Paul of Marylebone, name, Swraj Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swraj Paul
Context triple: [Lord Paul of Marylebone, name, Swraj Paul]
  • A. Ameet Shukla
    Ameet Shukla is a film producer best known for his work on the action thriller movie "Cold Pursuit."
  • B. Mukul Sharma
    Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
  • C. Parmanand Jha
    Parmanand Jha is a Nepalese politician and former Supreme Court judge who became the first Vice President of Nepal after the country was declared a republic.
  • D. Pradeep Rawat
    Pradeep Rawat is an Indian actor best known for his villainous roles in films such as "Ghajini" and for character parts in major Hindi and regional cinema.
  • E. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • 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: Swraj Paul
Triple: [Lord Paul of Marylebone, name, Swraj Paul]
Generated description
Swraj Paul, Baron Paul of Marylebone, is a British-Indian industrialist, philanthropist, and Labour life peer in the UK House of Lords.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swraj Paul
Target entity description: Swraj Paul, Baron Paul of Marylebone, is a British-Indian industrialist, philanthropist, and Labour life peer in the UK House of Lords.
  • A. Ameet Shukla
    Ameet Shukla is a film producer best known for his work on the action thriller movie "Cold Pursuit."
  • B. Mukul Sharma
    Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
  • C. Parmanand Jha
    Parmanand Jha is a Nepalese politician and former Supreme Court judge who became the first Vice President of Nepal after the country was declared a republic.
  • D. Pradeep Rawat
    Pradeep Rawat is an Indian actor best known for his villainous roles in films such as "Ghajini" and for character parts in major Hindi and regional cinema.
  • E. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abf7ea08190a9d9f9358e3bb684 completed April 19, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afe4b8c48190bfb74141db5dfdf4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0be5e7481908f87aeb844ff9e05 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b11e85c08190a7bb2a82c9a4a9ca completed May 11, 2026, 10:36 a.m.
Created at: April 10, 2026, 5:45 a.m.