Triple
T31345374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest of Feelings |
E799431
|
entity |
| Predicate | involvesMusicalTechnique |
P147037
|
FINISHED |
| Object | improvisation |
—
|
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: improvisation | Statement: [Forest of Feelings, involvesMusicalTechnique, improvisation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesMusicalTechnique Context triple: [Forest of Feelings, involvesMusicalTechnique, improvisation]
-
A.
musicalTechniques
chosen
Indicates the specific methods or approaches used to create, shape, or perform music in relation to an entity.
-
B.
notableInstrumentTechnique
Indicates that an entity is particularly recognized for using, developing, or being associated with a specific musical instrument technique.
-
C.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
D.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 29, 2026, 9:17 p.m.