Triple
T825077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheena Easton |
E17835
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | R&B |
E11089
|
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: R&B | Statement: [Sheena Easton, genre, R&B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R&B Context triple: [Sheena Easton, genre, R&B]
-
A.
R&B
chosen
R&B is a popular music genre that blends soulful vocals with rhythmic grooves, drawing from blues, jazz, gospel, and later funk and hip-hop influences.
-
B.
Soul
Soul is a 2020 Pixar animated film that explores themes of purpose, passion, and the afterlife through the story of a jazz musician who experiences a life-changing journey beyond Earth.
-
C.
Jazz
"Jazz" is a 1992 novel by Toni Morrison that explores love, violence, and memory in 1920s Harlem through a narrative style inspired by the improvisational rhythms of jazz music.
-
D.
Jazz
Jazz is a celebrated illustrated book by Henri Matisse featuring vibrant color paper cut-outs that exemplify his late-career artistic style.
-
E.
Afrobeats
Afrobeats is a contemporary West African music genre that blends elements of traditional African rhythms with hip-hop, dancehall, and pop, and has become a major global sound.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7eb0a08190889463edb0e7bd59 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9577f081908aa31b1926e04bb8 |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.