Triple
T10572382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teach Me |
E249518
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Teach Me |
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: Teach Me | Statement: [Teach Me, hasTitle, Teach Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teach Me Context triple: [Teach Me, hasTitle, Teach Me]
-
A.
Teach Me
chosen
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
-
B.
Teach Me Tonight
"Teach Me Tonight" is a popular jazz standard and romantic ballad from the 1950s that has been widely recorded by numerous vocalists.
-
C.
Teachme (single)
"Teachme" is an R&B single by Musiq Soulchild known for its smooth, soulful vocals and introspective lyrics about learning how to love.
-
D.
What I've Learned
"What I've Learned" is a long-running Esquire magazine feature in which notable figures share personal insights, life lessons, and reflections in a first-person, quote-driven format.
-
E.
Tell Me
"Tell Me" is a blues-rock song by Stevie Ray Vaughan and Double Trouble featured on their acclaimed debut album "Texas Flood."
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b55d0f88190bd6853603f67e88d |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.