Triple
T21935337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | DJ Luian |
—
|
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: DJ Luian | Statement: [Real Hasta la Muerte, hasProducer, DJ Luian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Luian Context triple: [Real Hasta la Muerte, hasProducer, DJ Luian]
-
A.
DJ Luian
chosen
DJ Luian is a Puerto Rican music producer and DJ best known for his influential work in the Latin trap and reggaeton scenes, collaborating with major urban artists across the Spanish-speaking world.
-
B.
J-Lu
J-Lu is a music producer best known for working on the track "Cockiness (Love It)."
-
C.
DJ Lont
DJ Lont is a hip-hop music producer best known for his work on the mixtape "Ballin Like I’m Kobe."
-
D.
DJ D-Sol
DJ D-Sol is the DJ and music-producing alter ego of David Solomon, the CEO of Goldman Sachs, known for performing electronic dance music at clubs and charity events.
-
E.
DJ Sincere
DJ Sincere is a hip-hop DJ best known for his work with the influential New Rochelle rap group Brand Nubian.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124048fe48190987340d5a6945176 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:52 p.m.