Triple
T27618232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O mio babbino caro |
E700496
|
entity |
| Predicate | hasPianoReduction |
P164512
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [O mio babbino caro, hasPianoReduction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPianoReduction Context triple: [O mio babbino caro, hasPianoReduction, yes]
-
A.
hasPianoStyle
Indicates that one entity possesses, is associated with, or is characterized by a particular style or manner of piano playing.
-
B.
hasPianos
Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
-
C.
isPianoDriven
Indicates that something is primarily led, dominated, or characterized by the piano in its musical arrangement or performance.
-
D.
hasPianoRiff
Indicates that one entity features or contains a distinctive piano riff associated with another entity.
-
E.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 2:13 p.m.