Triple
T3972620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musiq Soulchild |
E92367
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Teachme |
E249518
|
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: Teachme | Statement: [Musiq Soulchild, notableWork, Teachme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teachme Context triple: [Musiq Soulchild, notableWork, Teachme]
-
A.
Khanmigo (AI education tool by Khan Academy)
Khanmigo is Khan Academy’s AI-powered tutoring and teaching assistant designed to provide interactive, personalized support for students and educators across a wide range of subjects.
-
B.
TeachText
TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
-
C.
Teach Me
chosen
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
-
D.
OpenLearning
OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
-
E.
Curriki
Curriki is an education-focused nonprofit organization that provides free, open-source digital learning resources and tools for teachers and students worldwide.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400fa9ac8190adf70a4c49eac32c |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.