Triple

T96903
Position Surface form Disambiguated ID Type / Status
Subject One Laptop per Child E1952 entity
Predicate foundedBy P104 FINISHED
Object Nicholas Negroponte E34093 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: Nicholas Negroponte | Statement: [One Laptop per Child, foundedBy, Nicholas Negroponte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Negroponte
Context triple: [One Laptop per Child, foundedBy, Nicholas Negroponte]
  • A. Nicholas Negroponte chosen
    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.
  • B. Tim O'Reilly
    Tim O'Reilly is a prominent technology publisher, author, and founder of O'Reilly Media, known for popularizing terms like "open source" and "Web 2.0" and for his influential role in shaping the modern tech industry.
  • C. Mitchel Resnick
    Mitchel Resnick is an American educator and MIT professor known for his pioneering work in constructionist learning and for leading the development of the Scratch programming language for children.
  • D. Ray Kurzweil
    Ray Kurzweil is an American inventor, futurist, and author known for his pioneering work in fields such as optical character recognition, text-to-speech synthesis, and artificial intelligence, as well as his predictions about technological singularity.
  • E. Hal Abelson
    Hal Abelson is an American computer scientist and MIT professor known for his pioneering work in computer science education, open knowledge, and software freedom.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd5cecc8190aca5fb4c4fe91a19 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a881821c81908272faf90952fc97 completed March 1, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.