Triple
T22073425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Harmonic Inspiration |
E545464
|
entity |
| Predicate | influencedForm |
P21716
|
FINISHED |
| Object | concerto grosso |
—
|
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: concerto grosso | Statement: [The Harmonic Inspiration, influencedForm, concerto grosso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedForm Context triple: [The Harmonic Inspiration, influencedForm, concerto grosso]
-
A.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
B.
influencedFormationOf
chosen
Indicates that one entity played a significant role in shaping, initiating, or contributing to the development or establishment of another entity.
-
C.
influencedNameOf
Indicates that one entity has affected or shaped the naming or choice of name of another entity.
-
D.
inflectionOf
Indicates that one linguistic form is an inflected variant of another base or lemma form.
-
E.
languageOfInfluence
Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12889f504819089830202e64d97b0 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.