Triple
T13931257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loyal |
E334996
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Yung Berg |
E734152
|
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: Yung Berg | Statement: [Loyal, hasPerformer, Yung Berg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yung Berg Context triple: [Loyal, hasPerformer, Yung Berg]
-
A.
Yung Berg
chosen
Yung Berg is an American rapper, singer, and record producer—also known as Hitmaka—who gained prominence in the mid-2000s with melodic, radio-friendly hip hop and R&B collaborations.
-
B.
Yung Joc
Yung Joc is an American rapper from Atlanta best known for his mid-2000s hit single "It's Goin' Down" and his contributions to Southern hip hop.
-
C.
Yung Gud
Yung Gud is a Swedish producer and DJ best known for his atmospheric, melancholic beats and frequent collaborations with rapper Yung Lean as part of the Sad Boys collective.
-
D.
Booba
Booba is a prominent French rapper and entrepreneur known for his influential role in the French hip-hop scene and numerous hit albums and collaborations.
-
E.
Yung Bleu
Yung Bleu is an American rapper and singer known for melodic, emotionally driven tracks like the hit single "You're Mines Still."
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8452648190b7392d75eb1ca874 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:16 p.m.