Triple

T10051072
Position Surface form Disambiguated ID Type / Status
Subject Lord Bilimoria E207748 entity
Predicate name P16 FINISHED
Object Karan Faridoon Bilimoria
Karan Faridoon Bilimoria is a British-Indian entrepreneur, life peer, and founder of Cobra Beer.
E838116 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: Karan Faridoon Bilimoria | Statement: [Lord Bilimoria, name, Karan Faridoon Bilimoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karan Faridoon Bilimoria
Context triple: [Lord Bilimoria, name, Karan Faridoon Bilimoria]
  • A. Farhad Anklesaria
    Farhad Anklesaria is a software engineer best known as one of the principal developers of the Gopher internet protocol and early distributed information systems.
  • B. Aspi Balsara
    Aspi Balsara was a pioneering Indian musician and bandleader known for popularizing Western-style orchestral and dance music in mid-20th-century India.
  • C. Ashwanth Ashokkumar
    Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
  • D. Dileep Rao
    Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
  • E. Rohan Murty
    Rohan Murty is an Indian computer scientist, entrepreneur, and philanthropist, known for founding the Murty Classical Library of India and for his work in technology and academia.
  • 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: Karan Faridoon Bilimoria
Triple: [Lord Bilimoria, name, Karan Faridoon Bilimoria]
Generated description
Karan Faridoon Bilimoria is a British-Indian entrepreneur, life peer, and founder of Cobra Beer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karan Faridoon Bilimoria
Target entity description: Karan Faridoon Bilimoria is a British-Indian entrepreneur, life peer, and founder of Cobra Beer.
  • A. Farhad Anklesaria
    Farhad Anklesaria is a software engineer best known as one of the principal developers of the Gopher internet protocol and early distributed information systems.
  • B. Aspi Balsara
    Aspi Balsara was a pioneering Indian musician and bandleader known for popularizing Western-style orchestral and dance music in mid-20th-century India.
  • C. Ashwanth Ashokkumar
    Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
  • D. Dileep Rao
    Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
  • E. Rohan Murty
    Rohan Murty is an Indian computer scientist, entrepreneur, and philanthropist, known for founding the Murty Classical Library of India and for his work in technology and academia.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8fb23c8190b48b30cb2368dc1f completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829674f08190b5f9c3b984106469 completed April 5, 2026, 3:41 p.m.
NEDg Description generation batch_69d2868c5c88819080d73e50fabc2bb7 completed April 5, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_69d286fdd2c88190b0ce5070c7875dcc completed April 5, 2026, 3:59 p.m.
Created at: March 30, 2026, 8:56 p.m.