Triple
T10621907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Warm Up |
E250221
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Kane Beatz |
E598768
|
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: Kane Beatz | Statement: [The Warm Up, hasProducer, Kane Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kane Beatz Context triple: [The Warm Up, hasProducer, Kane Beatz]
-
A.
Kane Beatz
chosen
Kane Beatz is an American record producer known for crafting hit hip-hop and rap tracks for major artists such as Lil Wayne, Nicki Minaj, and Trey Songz.
-
B.
Swizz Beatz
Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
-
C.
Murda Beatz
Murda Beatz is a Canadian record producer and songwriter known for crafting trap and hip-hop hits for major artists like Migos, Drake, and Travis Scott.
-
D.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
E.
Hit-Boy
Hit-Boy is an American record producer and rapper known for crafting influential hip-hop and R&B hits for artists like Kanye West, Jay-Z, and Beyoncé.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.