Triple
T18708150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 300 Entertainment |
E457427
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Shy Glizzy |
—
|
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: Shy Glizzy | Statement: [300 Entertainment, hasArtist, Shy Glizzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shy Glizzy Context triple: [300 Entertainment, hasArtist, Shy Glizzy]
-
A.
Shy Glizzy
chosen
Shy Glizzy is an American rapper from Washington, D.C., known for his distinctive voice, street-oriented lyrics, and role in the city’s modern hip-hop scene.
-
B.
Juicy J
Juicy J is an American rapper, producer, and founding member of the hip hop group Three 6 Mafia, known for his influential role in Southern rap and numerous high-profile collaborations.
-
C.
Jeezy
Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
-
D.
Krizz Kaliko
Krizz Kaliko is an American rapper, singer, and songwriter known for his versatile vocal style and long-time collaborations within the Strange Music label.
-
E.
Pleasure P
Pleasure P is an American R&B singer and former member of the group Pretty Ricky, known for his smooth vocals and solo hits in the late 2000s.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56719383481909d68c9e873ca0800 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.