Triple
T17460701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of a Don |
E425142
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Kali Uchis |
—
|
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: Kali Uchis | Statement: [Life of a Don, featuresArtist, Kali Uchis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kali Uchis Context triple: [Life of a Don, featuresArtist, 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.
Rosalia
Rosalia is a character in the musical "West Side Story," depicted as a young Puerto Rican woman who is part of the Sharks' community.
-
D.
Rosalia
Rosalia is a feminine given name of Latin origin, commonly associated with the rose and used in various European cultures.
-
E.
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.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.