Triple

T1411050
Position Surface form Disambiguated ID Type / Status
Subject Wipro Limited E31804 entity
Predicate foundedBy P104 FINISHED
Object M.H. Hasham Premji E5073 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: M.H. Hasham Premji | Statement: [Wipro Limited, foundedBy, M.H. Hasham Premji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M.H. Hasham Premji
Context triple: [Wipro Limited, foundedBy, M.H. Hasham Premji]
  • A. Azim Premji chosen
    Azim Premji is an Indian business tycoon and philanthropist, best known as the longtime chairman of Wipro and one of the world’s leading charitable donors.
  • B. Vikram Pandit
    Vikram Pandit is an Indian-American banker best known for serving as the CEO of Citigroup during the global financial crisis.
  • C. Gagan Biyani
    Gagan Biyani is an entrepreneur best known as a co-founder of the online learning platform Udemy and for his work in the education technology sector.
  • D. N. R. Narayana Murthy
    N. R. Narayana Murthy is an Indian billionaire businessman best known as the co-founder of Infosys, a pioneering global IT services company.
  • E. Ajit Jain
    Ajit Jain is an Indian-American business executive best known as a top insurance lieutenant and potential successor to Warren Buffett at Berkshire Hathaway.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e1da988190bc7c187e193539b6 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232534f48190b1392c2fba119b7c completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 7:59 p.m.