Triple
T19075519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasolina |
E466891
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Luny Tunes |
—
|
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: Luny Tunes | Statement: [Gasolina, associatedAct, Luny Tunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luny Tunes Context triple: [Gasolina, associatedAct, Luny Tunes]
-
A.
Luny Tunes
chosen
Luny Tunes is a renowned Dominican reggaeton production duo known for crafting many of the genre’s biggest hits and shaping its early 2000s sound.
-
B.
Yeti Beats
Yeti Beats is an American record producer and songwriter best known for his work with Doja Cat and contributions to contemporary pop and hip-hop music.
-
C.
Kuwo Music
Kuwo Music is a Chinese online music streaming service offering a large catalog of songs, playlists, and audio content to users across multiple platforms.
-
D.
Loud Luxury
Loud Luxury is a Canadian DJ and production duo known for their catchy, radio-friendly house tracks and international hit "Body."
-
E.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e3c7b08190bf6448ead11ba916 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.