Triple
T31613522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero (opera) |
E806691
|
entity |
| Predicate | originalLanguageLibretto |
P78807
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Nero (opera), originalLanguageLibretto, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageLibretto Context triple: [Nero (opera), originalLanguageLibretto, German]
-
A.
originalLanguageOfLibretto
chosen
Indicates the language in which a libretto was originally written for a given work.
-
B.
librettoAdaptationToLanguage
Indicates that a libretto has been adapted or translated into a specific target language.
-
C.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
-
D.
originalLanguageAuthor
Indicates that an author created a work in a particular original language.
-
E.
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.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:37 p.m.