Triple
T23262158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayvadius DeMun Wilburn |
E582044
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | DS2 |
—
|
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: DS2 | Statement: [Nayvadius DeMun Wilburn, notableWork, DS2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DS2 Context triple: [Nayvadius DeMun Wilburn, notableWork, DS2]
-
A.
DS2
chosen
DS2 is a critically acclaimed 2015 trap album by rapper Future, known for its dark, atmospheric production and introspective lyrics about fame, excess, and emotional turmoil.
-
B.
DS4
DS4 is a political organization in India representing and advocating for the rights and interests of Dalits and other oppressed communities.
-
C.
DSVII
DSVII is a 2019 synth-driven, retro-futuristic instrumental album by French electronic music project M83.
-
D.
DS26
DS26 is a World Trade Organization dispute case concerning the European Communities’ restrictions on hormone-treated meat products, primarily challenged by the United States.
-
E.
D2
D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.