Triple
T27202493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel’s Oboe |
E683770
|
entity |
| Predicate | vocalAdaptationLanguage |
P47965
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Gabriel’s Oboe, vocalAdaptationLanguage, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalAdaptationLanguage Context triple: [Gabriel’s Oboe, vocalAdaptationLanguage, Italian]
-
A.
hasVocalAdaptation
Indicates that an entity possesses a specialized vocal feature or modification that alters or enhances its sound production or communication.
-
B.
hasVocalAdaptationPerformer
Indicates that a performer possesses or employs a specific vocal adaptation or modification in their performance.
-
C.
languageOfVocalization
chosen
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
D.
voiceActingLanguage
Indicates the language in which a voice acting performance is delivered.
-
E.
hasVocalLanguageMix
Indicates that an entity’s vocal communication combines multiple languages or language varieties within its speech.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 9:36 a.m.