Triple
T12991081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress |
E321906
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ Coublon |
E1013955
|
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: DJ Coublon | Statement: [Empress, producer, DJ Coublon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ Coublon Context triple: [Empress, producer, DJ Coublon]
-
A.
DJ Coublon
chosen
DJ Coublon is a Nigerian music producer known for crafting hit Afrobeat and Afropop tracks for prominent African artists.
-
B.
DJ Durel
DJ Durel is an American record producer and engineer best known for his extensive work with the hip-hop trio Migos and contributions to the Atlanta trap sound.
-
C.
Jean-Michel Damase
Jean-Michel Damase was a French composer and pianist known for his lyrical, neoclassical works, particularly for harp and chamber ensembles.
-
D.
Jean-Michel
Jean-Michel is the given name of the influential American artist Jean-Michel Basquiat, a leading figure in 1980s neo-expressionist painting.
-
E.
Jean-Michel
Jean-Michel is the straight, headstrong son of Georges in the musical "La Cage aux Folles," whose engagement to a conservative politician’s daughter drives much of the show’s central conflict.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:43 p.m.