Triple
T21935335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Yampi |
—
|
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: Yampi | Statement: [Real Hasta la Muerte, hasProducer, Yampi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yampi Context triple: [Real Hasta la Muerte, hasProducer, Yampi]
-
A.
Yampi
chosen
Yampi is a music producer known for crafting tracks for the artist Aura.
-
B.
Wallagoot
Wallagoot is a small rural locality in the Bega Valley region of New South Wales, Australia, known for its nearby coastal lake and natural surroundings.
-
C.
Buronga
Buronga is a small town in southwestern New South Wales, Australia, situated on the Murray River opposite Mildura and known for its role in the irrigated agricultural district of the Sunraysia region.
-
D.
Tisma
Tisma is a small rural municipality in Nicaragua known for its agricultural economy and traditional Central American community life.
-
E.
Yawuru
Yawuru is an Aboriginal Australian people and their language traditionally associated with the Broome region of Western Australia.
- 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.