Triple
T21735159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop That |
E536503
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lee On The Beats |
—
|
NE NERFINISHED |
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: Lee On The Beats | Statement: [Pop That, producer, Lee On The Beats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee On The Beats Context triple: [Pop That, producer, Lee On The Beats]
-
A.
Lee On The Beats
chosen
Lee On The Beats is an American hip-hop record producer known for crafting melodic, radio-friendly beats for prominent rap artists.
-
B.
Keanu Beats
Keanu Beats is a music producer known for his work in contemporary pop and hip-hop, including contributions to Taylor Swift’s album "Midnights."
-
C.
Speroach Beatz
Speroach Beatz is a Nigerian record producer and songwriter known for crafting hit Afrobeats tracks for major artists in the contemporary African music scene.
-
D.
Brother Beat
Brother Beat is a Japanese television drama series best known for starring actor Tetsuji Tamayama.
-
E.
The Beat
The Beat, also known as The English Beat in North America, is a British ska and new wave band formed in the late 1970s and known for politically charged lyrics and danceable rhythms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.