Triple

T5070934
Position Surface form Disambiguated ID Type / Status
Subject Sugata Mitra E114275 entity
Predicate name P16 FINISHED
Object Sugata Mitra E114275 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: Sugata Mitra | Statement: [Sugata Mitra, name, Sugata Mitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugata Mitra
Context triple: [Sugata Mitra, name, Sugata Mitra]
  • A. Sugata Mitra chosen
    Sugata Mitra is an Indian educational researcher best known for his “Hole in the Wall” experiments and advocacy of self-organized learning, which earned him international recognition including the TED Prize.
  • B. Mihir Bose
    Mihir Bose is a British-Indian journalist and author best known for his work as a sports writer and commentator, particularly on cricket and the politics of sport.
  • C. Andrea diSessa
    Andrea diSessa is an American educational researcher and cognitive scientist known for his work on physics education, computational literacy, and the design of learning environments.
  • D. Abhijit Vinayak Banerjee
    Abhijit Vinayak Banerjee is an Indian-American economist and Nobel laureate renowned for his experimental approach to alleviating global poverty.
  • E. Nicholas Negroponte
    Nicholas Negroponte is an American architect and technology visionary best known as the founding director of the MIT Media Lab and a prominent advocate for the digital revolution.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a42dc08190b05276748741c254 completed March 21, 2026, 2:01 p.m.
Created at: March 20, 2026, 1:39 p.m.