Triple
T15328491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRhyme 2 |
E366472
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object | Yelawolf |
E698153
|
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: Yelawolf | Statement: [PRhyme 2, hasGuestAppearance, Yelawolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yelawolf Context triple: [PRhyme 2, hasGuestAppearance, Yelawolf]
-
A.
Yelawolf
chosen
Yelawolf is an American rapper and singer known for his Southern-influenced hip hop style and work with artists across mainstream and underground rap.
-
B.
Swamp Dogg
Swamp Dogg is an American soul and R&B singer, songwriter, and producer known for his satirical, socially conscious lyrics and cult-classic status in alternative soul music.
-
C.
Lil Yachty
Lil Yachty is an American rapper, singer, and songwriter known for his melodic, playful style and breakout hits like “One Night” and “Minnesota.”
-
D.
Blac Youngsta
Blac Youngsta is an American rapper from Memphis, Tennessee, known for his energetic style, mixtapes, and affiliation with Yo Gotti’s Collective Music Group (CMG).
-
E.
Tee Grizzley
Tee Grizzley is an American rapper from Detroit known for his gritty storytelling and breakout hit "First Day Out."
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8af92a88190bd47f1a484f25eb1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.