Triple

T8192840
Position Surface form Disambiguated ID Type / Status
Subject Bhavish Aggarwal E191355 entity
Predicate name P16 FINISHED
Object Bhavish Aggarwal E191355 NE FINISHED

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: [Bhavish Aggarwal, name, Bhavish Aggarwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhavish Aggarwal
Context triple: [Bhavish Aggarwal, name, 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. 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.
  • C. Aditya Mittal
    Aditya Mittal is an Indian businessman and heir to the Mittal family who leads ArcelorMittal, one of the world’s largest steel and mining companies.
  • D. Arjun Malhotra
    Arjun Malhotra is an Indian entrepreneur and co-founder of the global IT services company HCL Technologies.
  • E. Prashant Damle
    Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c1d7aa48190adbbce88b3bed1a3 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceda1b22c8190acc1a2cd0fe36b70 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:42 p.m.