Triple
T24250214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neapolitan school of opera |
E603501
|
entity |
| Predicate | librettoTradition |
P90027
|
FINISHED |
| Object | Metastasian opera seria |
—
|
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: Metastasian opera seria | Statement: [Neapolitan school of opera, librettoTradition, Metastasian opera seria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librettoTradition Context triple: [Neapolitan school of opera, librettoTradition, Metastasian opera seria]
-
A.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
B.
librettoStyle
chosen
Indicates the stylistic characteristics or manner in which a libretto (the text of an opera or similar work) is written or composed.
-
C.
librettoBasedOn
Indicates that the libretto of a musical or operatic work is derived from, adapted from, or otherwise based on another pre-existing work or source.
-
D.
includesLibretto
Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
-
E.
librettoAdaptationToLanguage
Indicates that a libretto has been adapted or translated into a specific target 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b889798819086769788f188c9eb |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.