Triple
T21672213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozz |
E534876
|
entity |
| Predicate | debutStudioAlbum |
P3278
|
FINISHED |
| Object | Cozz & Effect |
—
|
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: Cozz & Effect | Statement: [Cozz, debutStudioAlbum, Cozz & Effect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cozz & Effect Context triple: [Cozz, debutStudioAlbum, Cozz & Effect]
-
A.
Cozz
chosen
Cozz is an American rapper from Los Angeles known for his introspective lyricism and for being signed to J. Cole’s Dreamville Records.
-
B.
The Crezz
The Crezz is a British television drama series written by Clive Exton that portrays the intersecting lives of residents in a London apartment block.
-
C.
Sound Dues
Sound Dues were a historic toll levied by the Danish crown on ships passing through the Øresund strait, serving for centuries as a major source of Denmark’s income and a key factor in Baltic maritime trade.
-
D.
Coatnoise
Coatnoise is an electronic music release by producer Midfield General, known for its blend of big beat and dance influences.
-
E.
Rausch & Rausch
Rausch & Rausch is an architectural firm known for its work on the prestigious Hotel Adlon Kempinski in Berlin.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0cd7648190b9981393f0b2bee9 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:40 p.m.