Triple
T5712486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fefe |
E125940
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Murda Beatz |
E189400
|
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: Murda Beatz | Statement: [Fefe, writer, Murda Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murda Beatz Context triple: [Fefe, writer, Murda 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.
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.
Benny the Butcher
Benny the Butcher is an American rapper from Buffalo, New York, known for his gritty street narratives, sharp lyricism, and work with the Griselda collective.
-
D.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
E.
Denzel Curry
Denzel Curry is an American rapper, singer, and songwriter known for his aggressive delivery, introspective lyrics, and influential role in the South Florida hip-hop scene.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b386a08190bd2738d93861edc2 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ca111188190932a17a2fab097c7 |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 22, 2026, 3:46 p.m.