Triple

T4353330
Position Surface form Disambiguated ID Type / Status
Subject Perceptrons E98083 entity
Predicate hasCoauthor P2389 FINISHED
Object Seymour Papert E36644 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: Seymour Papert | Statement: [Perceptrons, hasCoauthor, Seymour Papert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seymour Papert
Context triple: [Perceptrons, hasCoauthor, Seymour Papert]
  • A. Seymour Papert chosen
    Seymour Papert was a pioneering mathematician, computer scientist, and educator best known for co-inventing the Logo programming language and advancing constructionist learning theories in education technology.
  • B. Marvin Minsky
    Marvin Minsky was an American cognitive scientist and pioneering artificial intelligence researcher who co-founded MIT's AI Laboratory and made foundational contributions to the theory and philosophy of AI.
  • C. Alan Kay
    Alan Kay is a pioneering computer scientist best known for his foundational work on object-oriented programming and the development of the graphical user interface.
  • D. 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.
  • E. 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.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c281688190aef717c4ecce8107 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fdee688190806edebd05a23570 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:15 p.m.