Triple
T4530428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawitdaba |
E106282
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Top Dog Records |
E98182
|
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: Top Dog Records | Statement: [Bawitdaba, recordLabel, Top Dog Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Dog Records Context triple: [Bawitdaba, recordLabel, Top Dog Records]
-
A.
Top Dog Records
chosen
Top Dog Records is an American record label best known for releasing music by rock-rapper Kid Rock.
-
B.
Doggystyle Records
Doggystyle Records is an American record label founded by rapper Snoop Dogg, primarily focused on West Coast hip hop and associated artists.
-
C.
DGC Records
DGC Records was an American record label, best known for signing influential alternative rock and hip-hop artists during the late 1980s and 1990s.
-
D.
TRU Records
TRU Records is a hip-hop record label founded by rapper 2 Chainz, known for releasing his music and projects from affiliated Southern rap artists.
-
E.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579ba4188190b4cef6e91772f7e5 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacde72588190868e3ade922d6033 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:03 p.m.