Triple

T19248498
Position Surface form Disambiguated ID Type / Status
Subject Birla Institute of Technology and Science, Pilani E481324 entity
Predicate hasNotableAlumni P51 FINISHED
Object Bhavish Aggarwal NE NERFINISHED

How this triple was built (2 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: Bhavish Aggarwal | Statement: [Birla Institute of Technology and Science, Pilani, hasNotableAlumni, Bhavish Aggarwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhavish Aggarwal
Context triple: [Birla Institute of Technology and Science, Pilani, hasNotableAlumni, Bhavish Aggarwal]
  • A. Bhavish Aggarwal chosen
    Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
  • B. Piyush Kanojia
    Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
  • C. Rahul Bhatia
    Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
  • D. Amar Kaushik
    Amar Kaushik is an Indian film director best known for helming popular Hindi films like the horror-comedy "Stree."
  • E. Bhavin Turakhia
    Bhavin Turakhia is an Indian billionaire tech entrepreneur known for founding multiple successful internet and software companies, including the Directi Group.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2e7cf881908dafd45d7a305c52 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.