Triple
T27202492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel’s Oboe |
E683770
|
entity |
| Predicate | vocalAdaptationLyricist |
P145914
|
FINISHED |
| Object | Chiara Ferraù |
—
|
NE NERFINISHED |
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: Chiara Ferraù | Statement: [Gabriel’s Oboe, vocalAdaptationLyricist, Chiara Ferraù]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalAdaptationLyricist Context triple: [Gabriel’s Oboe, vocalAdaptationLyricist, Chiara Ferraù]
-
A.
lyricAdaptationBy
chosen
Indicates that the lyrics of a work have been adapted, modified, or reinterpreted by a specified agent or creator.
-
B.
lyricsAdaptedFrom
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
C.
modifiedLyricsDetail
Indicates that the relationship specifies detailed information about how the original lyrics have been altered or modified.
-
D.
lyricSetting
Indicates that one entity serves as the text or lyrics that are set to music or otherwise musically realized by another entity.
-
E.
hasVocalAdaptationPerformer
Indicates that a performer possesses or employs a specific vocal adaptation or modification in their performance.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 9:36 a.m.