Triple
T20699414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhythm of Love |
E508738
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | George Duke |
—
|
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: George Duke | Statement: [Rhythm of Love, producer, George Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Duke Context triple: [Rhythm of Love, producer, George Duke]
-
A.
George Duke
chosen
George Duke was an influential American keyboardist, composer, and producer known for his work in jazz fusion, funk, and R&B, as well as collaborations with numerous prominent artists.
-
B.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
-
C.
Gerald de Windsor
Gerald de Windsor was an Anglo-Norman nobleman and royal official in Wales whose descendants, the Geraldines, became a powerful dynastic family in Ireland and Britain.
-
D.
Edward King
Edward King was a member of the prominent King family of New York, known for its significant involvement in early American politics and public life.
-
E.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:11 p.m.