Triple
T31908925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orfeo ed Euridice |
E814627
|
entity |
| Predicate | FrenchVersionPremiereDate |
P32699
|
FINISHED |
| Object | 1774-08-02 |
—
|
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: 1774-08-02 | Statement: [Orfeo ed Euridice, FrenchVersionPremiereDate, 1774-08-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrenchVersionPremiereDate Context triple: [Orfeo ed Euridice, FrenchVersionPremiereDate, 1774-08-02]
-
A.
releaseDateFrance
Indicates the date on which something (such as a product, film, or work) was officially released in France.
-
B.
firstFrenchPremiereDate
chosen
Indicates the date on which something (such as a work or event) was first premiered or publicly presented in France.
-
C.
FrenchEditionURL
Indicates the URL where the French-language edition or version of an entity can be accessed.
-
D.
FrenchEditionPublicationYear
Indicates the year in which a French-language edition of a work was published.
-
E.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1b92b9081909105e14626a3c04b |
completed | May 3, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:01 a.m.