Triple
T22322247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV 293 (Autumn) |
E551814
|
entity |
| Predicate | associatedSonnetTheme |
P147728
|
FINISHED |
| Object | harvest celebrations |
—
|
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: harvest celebrations | Statement: [RV 293 (Autumn), associatedSonnetTheme, harvest celebrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSonnetTheme Context triple: [RV 293 (Autumn), associatedSonnetTheme, harvest celebrations]
-
A.
notableSonnetGroup
Indicates that one entity is a notable or significant group or collection of sonnets associated with the other entity.
-
B.
associatedWithSongTheme
Indicates a relationship where something is linked or connected to the thematic content or subject matter of a song.
-
C.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
D.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
E.
mostFamousSonnet
Indicates that one entity is regarded as the most famous sonnet associated with another entity.
- F. None of above. chosen
Provenance (4 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15765a004819081dcdccbfd0efea7 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.