Triple
T21722009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Want You |
E536181
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Damizza |
—
|
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: Damizza | Statement: [Want You, lyricist, Damizza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damizza Context triple: [Want You, lyricist, Damizza]
-
A.
Damizza
chosen
Damizza is an American hip hop and R&B record producer and radio executive known for his work with major artists in the late 1990s and early 2000s.
-
B.
Mazzanta
Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
-
C.
Degioz
Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
-
D.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
E.
Dizzia
Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.