Triple
T3691319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Blocks |
E78348
|
entity |
| Predicate | relatedTo |
P37
|
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: [Music Blocks, relatedTo, Sugar Labs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Labs Context triple: [Music Blocks, relatedTo, 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.
Pyra Labs
Pyra Labs is the software company best known for creating Blogger, one of the earliest and most influential web-based blogging platforms.
-
E.
Founders Lab
Founders Lab is an innovation and entrepreneurship space at Elmhurst University that supports student startups and experiential learning in business and technology.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdeee0488190b59e24f8ad48ad5e |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:26 p.m.