Triple

T498759
Position Surface form Disambiguated ID Type / Status
Subject Mary Lou Jepsen E10352 entity
Predicate coFounded P104 FINISHED
Object One Laptop per Child E1952 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: One Laptop per Child | Statement: [Mary Lou Jepsen, coFounded, One Laptop per Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Laptop per Child
Context triple: [Mary Lou Jepsen, coFounded, One Laptop per Child]
  • A. One Laptop per Child chosen
    One Laptop per Child is an educational nonprofit initiative that aimed to provide low-cost, durable laptops to children in developing countries to support digital learning and bridge the global digital divide.
  • B. Khan Lab School
    Khan Lab School is an experimental independent school in California founded by Salman Khan that applies and extends the educational philosophies and practices behind Khan Academy in a physical classroom setting.
  • C. Plan Ceibal in Uruguay
    Plan Ceibal in Uruguay is a nationwide educational initiative that provides students and teachers with laptops and digital resources to promote digital inclusion and improve public education.
  • D. OLPC OS
    OLPC OS is the specialized Linux-based operating system designed for One Laptop per Child devices, featuring the Sugar learning-focused user interface for children.
  • E. Scratch Foundation
    The Scratch Foundation is the nonprofit organization that supports and advances the Scratch programming language and its global educational community.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481efc3a881909575c5981e13a16b completed March 1, 2026, 6:14 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.