Triple
T13820978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salome (opera) |
E332132
|
entity |
| Predicate | librettoBasedOnLanguage |
P111046
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Salome (opera), librettoBasedOnLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librettoBasedOnLanguage Context triple: [Salome (opera), librettoBasedOnLanguage, French]
-
A.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
B.
librettoAdaptationToLanguage
chosen
Indicates that a libretto has been adapted or translated into a specific target language.
-
C.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
D.
librettoStyle
Indicates the stylistic characteristics or manner in which a libretto (the text of an opera or similar work) is written or composed.
-
E.
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.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.