Triple
T10717804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Dreamer |
E252725
|
entity |
| Predicate | hasMusicalCharacteristics |
P44121
|
FINISHED |
| Object | synth-driven production |
—
|
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: synth-driven production | Statement: [Little Dreamer, hasMusicalCharacteristics, synth-driven production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalCharacteristics Context triple: [Little Dreamer, hasMusicalCharacteristics, synth-driven production]
-
A.
hasMusicCharacteristic
chosen
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
B.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
C.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
hasMusicalArrangementCharacteristic
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
-
E.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.