Triple
T6078123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Dahi |
E135452
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Kali Uchis |
E250204
|
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: Kali Uchis | Statement: [DJ Dahi, hasWorkedWith, Kali Uchis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kali Uchis Context triple: [DJ Dahi, hasWorkedWith, Kali Uchis]
-
A.
Kali Uchis
chosen
Kali Uchis is a Colombian-American singer and songwriter known for her genre-blending style that fuses R&B, soul, and Latin influences.
-
B.
Karol G
Karol G is a Colombian reggaeton and Latin trap singer-songwriter known for her chart-topping hits and major influence in contemporary Latin urban music.
-
C.
Marsha Ambrosius
Marsha Ambrosius is an English singer-songwriter and producer best known as one half of the R&B duo Floetry and for her solo neo-soul work.
-
D.
Gaby Moreno
Gaby Moreno is a Guatemalan singer-songwriter and guitarist known for her soulful blend of Latin, blues, jazz, and folk music.
-
E.
Rosalía
Rosalía is a Spanish singer and songwriter known for blending flamenco with contemporary pop and urban music, gaining international acclaim for her innovative sound and visuals.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057706d9881909b52093282593886 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243af0a108190a315314376332ec6 |
completed | March 24, 2026, 7:56 a.m. |
Created at: March 22, 2026, 4:11 p.m.