Triple
T8840821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Gente |
E210383
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Willy William |
E761117
|
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: Willy William | Statement: [Mi Gente, producer, Willy William]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willy William Context triple: [Mi Gente, producer, Willy William]
-
A.
Willy William
chosen
Willy William is a French DJ, record producer, and singer known internationally for his Latin-influenced dance hits, especially the global smash "Mi Gente."
-
B.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
-
C.
Fenna van Buuren
Fenna van Buuren is the daughter of Dutch DJ and record producer Armin van Buuren.
-
D.
Felix Jaehn
Felix Jaehn is a German DJ and record producer best known internationally for his tropical house remix of "Cheerleader" and other chart-topping dance tracks.
-
E.
Joel Corry
Joel Corry is a British DJ, producer, and television personality known for his chart-topping dance tracks and collaborations in the UK electronic music scene.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1c1488c8190ac7b6a13d3af8be6 |
completed | April 3, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:48 p.m.