Triple
T14243416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigga Please |
E353068
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | WU Music Group |
E329940
|
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: WU Music Group | Statement: [Nigga Please, recordLabel, WU Music Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WU Music Group Context triple: [Nigga Please, recordLabel, WU Music Group]
-
A.
Wu Music Group
chosen
Wu Music Group is a record label associated with the Wu-Tang Clan, known for releasing projects by group members and affiliated artists.
-
B.
Heir Wave Music Group
Heir Wave Music Group is a record label founded and led by rapper Pusha T, focused on developing emerging hip-hop talent.
-
C.
TEN Music Group
TEN Music Group is a Swedish independent record label and music company known for developing and promoting contemporary pop artists.
-
D.
MNRK Music Group
MNRK Music Group is an independent global music company and record label known for releasing a wide range of hip-hop, rock, and other genre-spanning projects.
-
E.
Wanda Culture Group
Wanda Culture Group is the cultural and entertainment arm of China’s Dalian Wanda Group, focusing on businesses such as film, television, and related media and cultural industries.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.