Triple
T13717527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGK |
E328940
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Pimp C |
E497287
|
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: Pimp C | Statement: [UGK, member, Pimp C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pimp C Context triple: [UGK, member, Pimp C]
-
A.
Pimp C
chosen
Pimp C was an influential American rapper and producer, best known as one half of the Southern hip hop duo UGK (Underground Kingz).
-
B.
P-Thugg
P-Thugg is a Lebanese-Canadian musician best known as the keyboardist and talk box player of the electro-funk duo Chromeo.
-
C.
MC Eiht
MC Eiht is an American West Coast rapper and actor from Compton, best known as the frontman of Compton's Most Wanted and for his influential role in 1990s gangsta rap.
-
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.
Krayzie Bone
Krayzie Bone is an American rapper, singer, and member of the Grammy-winning hip hop group Bone Thugs-n-Harmony, known for his rapid-fire delivery and melodic style.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.