Triple

T625144
Position Surface form Disambiguated ID Type / Status
Subject Walter Bender E15800 entity
Predicate notableWork P4 FINISHED
Object Sugar Labs E40765 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: Sugar Labs | Statement: [Walter Bender, notableWork, Sugar Labs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Labs
Context triple: [Walter Bender, notableWork, Sugar Labs]
  • A. Sugar Labs chosen
    Sugar Labs is a nonprofit organization that develops and maintains the Sugar learning platform, an open-source educational software environment originally created for the One Laptop per Child project.
  • B. JoyLabz
    JoyLabz is the company best known for creating the Makey Makey invention kit, which turns everyday objects into touchpads for creative, educational electronics projects.
  • C. Obvious Corporation
    Obvious Corporation was the early holding company and development vehicle created by Twitter’s founders that incubated and spun out Twitter as an independent company.
  • D. Cadabra, Inc.
    Cadabra, Inc. was the original name of the company that later became Amazon, the multinational e-commerce and technology giant founded by Jeff Bezos.
  • E. The Red Studio
    The Red Studio is a famous 1911 painting by Henri Matisse that depicts his studio interior flattened into a vivid, monochromatic red space, exemplifying his bold use of color and simplified forms.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e574444819087999404f3e3ffd9 completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5670380948190954bbdf802ed403c completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.