Triple
T9680682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let the Wind Carry Me |
E234270
|
entity |
| Predicate | hasMusicalArrangementCharacteristic |
P89596
|
FINISHED |
| Object | intricate |
—
|
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: intricate | Statement: [Let the Wind Carry Me, hasMusicalArrangementCharacteristic, intricate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalArrangementCharacteristic Context triple: [Let the Wind Carry Me, hasMusicalArrangementCharacteristic, intricate]
-
A.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
B.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
C.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
D.
hasBrassArrangement
Indicates that something includes or is associated with a musical arrangement specifically written for brass instruments.
-
E.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
- F. None of above. chosen
Provenance (4 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:16 p.m.