Triple
T23370753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffery |
E593462
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Swizz Beatz |
—
|
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: Swizz Beatz | Statement: [Jeffery, hasTrack, Swizz Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swizz Beatz Context triple: [Jeffery, hasTrack, Swizz Beatz]
-
A.
Swizz Beatz
chosen
Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
-
B.
Kane Beatz
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.
-
C.
Chad Beatz
Chad Beatz is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
-
D.
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.
-
E.
Blaise Beatz
Blaise Beatz is a Nigerian music producer known for crafting contemporary Afrobeats sounds for top artists in the scene.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.