Triple
T6478020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly 4 My N.I.G.G.A.Z... |
E146120
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | The D.O.C. |
E369309
|
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: The D.O.C. | Statement: [Strictly 4 My N.I.G.G.A.Z..., producer, The D.O.C.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The D.O.C. Context triple: [Strictly 4 My N.I.G.G.A.Z..., producer, The D.O.C.]
-
A.
The D.O.C.
chosen
The D.O.C. is an American rapper and songwriter known for his influential work with N.W.A and Dr. Dre, as well as his pivotal role in shaping early West Coast hip hop.
-
B.
Doe or Die
Doe or Die is the 1995 debut studio album by Brooklyn rapper AZ, celebrated as a classic of mafioso-themed East Coast hip hop.
-
C.
Bring da Ruckus
"Bring da Ruckus" is the hard-hitting opening track by the Wu-Tang Clan that sets the raw, gritty tone for their landmark debut album.
-
D.
Dondaicha
Dondaicha is a town in the Dhule district of Maharashtra, India, known regionally as a local commercial and agricultural center.
-
E.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4d35f08190a94143367b1d45c5 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653aa82808190a1e9d420e81d7839 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:51 p.m.