Triple
T28489970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Rhumba |
E720935
|
entity |
| Predicate | recordedAsBigBandArrangement |
P87542
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New Rhumba, recordedAsBigBandArrangement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedAsBigBandArrangement Context triple: [New Rhumba, recordedAsBigBandArrangement, true]
-
A.
hasBigBandArrangement
chosen
Indicates that something is arranged or orchestrated specifically for performance by a big band ensemble.
-
B.
orchestralArrangement
Indicates that one musical work is arranged or adapted specifically for performance by an orchestra.
-
C.
hasBrassArrangement
Indicates that something includes or is associated with a musical arrangement specifically written for brass instruments.
-
D.
musicalArrangement
Indicates that one entity is an arrangement or adaptation of another musical work.
-
E.
hasMusicalArrangementCharacteristic
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 3 a.m.