Triple
T2568930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonata No. 8 in C minor, Op. 13 "Pathétique" |
E57617
|
entity |
| Predicate | yearOfFirstPublication |
P18405
|
FINISHED |
| Object | 1799 |
—
|
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: 1799 | Statement: [Piano Sonata No. 8 in C minor, Op. 13 "Pathétique", yearOfFirstPublication, 1799]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstPublication Context triple: [Piano Sonata No. 8 in C minor, Op. 13 "Pathétique", yearOfFirstPublication, 1799]
-
A.
firstEditionPublicationYear
chosen
Indicates the year in which an entity’s first edition was originally published.
-
B.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
C.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
-
D.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
-
E.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.