Triple
T16678521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luvanmusiq |
E405276
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Teachme |
E1092768
|
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: [Luvanmusiq, hasSingle, Teachme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teachme Context triple: [Luvanmusiq, hasSingle, Teachme]
-
A.
Teachme
chosen
Teachme is a popular R&B song written and produced by Carvin Haggins, best known through its recording by the group Musiq Soulchild.
-
B.
Teach
Teach is a documentary film directed by Davis Guggenheim that explores issues and challenges within the American education system.
-
C.
Lessons
Lessons is a 2022 novel by Ian McEwan that follows a man's life across decades of personal and historical upheaval, exploring memory, trauma, and the passage of time.
-
D.
Zattoo
Zattoo is an internet-based live TV and streaming platform that allows users to watch television channels online across various devices.
-
E.
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.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6db3488190b56e13ddb69ef8f1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d32e7b48190b7dd4660bed4789d |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.