Triple
T22114894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hor che’l ciel e la terra |
E546512
|
entity |
| Predicate | musicalTechniques |
P147037
|
FINISHED |
| Object | text painting |
—
|
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: text painting | Statement: [Hor che’l ciel e la terra, musicalTechniques, text painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTechniques Context triple: [Hor che’l ciel e la terra, musicalTechniques, text painting]
-
A.
notableInstrumentTechnique
Indicates that an entity is particularly recognized for using, developing, or being associated with a specific musical instrument technique.
-
B.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
musicTheoryContext
Indicates that one entity is interpreted or analyzed within the framework, rules, or concepts of music theory in relation to another entity or situation.
-
E.
notableInstrumentalStyle
Indicates that an entity is recognized for a distinctive or characteristic style in instrumental performance or composition.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294c5f908190bdb1cce3cbf86d85 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.