Triple
T21935345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Mosty |
—
|
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: Mosty | Statement: [Real Hasta la Muerte, hasProducer, Mosty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosty Context triple: [Real Hasta la Muerte, hasProducer, Mosty]
-
A.
Mosty
chosen
Mosty is a music producer known for working on J Balvin’s album "Vibras," contributing to its distinctive reggaeton and Latin urban sound.
-
B.
Mitten
Mitten is the NATO reporting name for the Yakovlev Yak-130, a Russian advanced jet trainer and light attack aircraft.
-
C.
Morravey
Morravey is a Nigerian singer and songwriter known for her melodic Afrobeats sound and collaborations under Davido’s DMW label.
-
D.
Nouster
Nouster is a small settlement on the Orkney island of North Ronaldsay in Scotland.
-
E.
Mamer
Mamer is a Luxembourgish singer-songwriter and musician known for blending folk, rock, and alternative influences in his 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_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.