Triple
T21873984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fefe |
E540082
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Murde 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: Murde Beatz | Statement: [Fefe, artist, Murde Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murde Beatz Context triple: [Fefe, artist, Murde Beatz]
-
A.
Murda Beatz
chosen
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.
-
B.
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.
-
C.
Blastah Beatz
Blastah Beatz is a hip-hop music producer known for crafting hard-hitting beats and collaborating with various underground and mainstream rap artists.
-
D.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
E.
K1lla Beatz
K1lla Beatz is a music producer known for crafting hip-hop and rap instrumentals, including work on the project "4:21... The Day After."
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f338757c81908005bfedb52b03cc |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.