Triple
T36682419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half as Much |
E905718
|
entity |
| Predicate | RayCharlesVersionGenre |
P170633
|
FINISHED |
| Object | rhythm and blues |
—
|
LITERAL 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: rhythm and blues | Statement: [Half as Much, RayCharlesVersionGenre, rhythm and blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RayCharlesVersionGenre Context triple: [Half as Much, RayCharlesVersionGenre, rhythm and blues]
-
A.
WhitneyHoustonVersionGenre
Indicates that a particular version or recording by Whitney Houston belongs to a specified musical genre.
-
B.
ConwayTwittyVersionGenre
Indicates that a particular version of a work performed by Conway Twitty belongs to a specific musical genre.
-
C.
BeatlesVersionGenre
Indicates that a particular version or recording of a Beatles song belongs to a specific musical genre.
-
D.
recordedGenreArtist
chosen
Indicates that an artist has recorded music in a particular genre.
-
E.
styleOfLouisArmstrongVersion
Indicates that something is in the musical style or manner characteristic of Louis Armstrong’s performances or interpretations.
- F. None of above.
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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7c0ce9081909e8b4cbf6419b728 |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.