Triple
T22073235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring in E major |
E545460
|
entity |
| Predicate | languageOfAssociatedSonnet |
P29869
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Spring in E major, languageOfAssociatedSonnet, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAssociatedSonnet Context triple: [Spring in E major, languageOfAssociatedSonnet, Italian]
-
A.
languageOfPoetry
chosen
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
B.
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.
-
C.
mostFamousSonnet
Indicates that one entity is regarded as the most famous sonnet associated with another entity.
-
D.
languageOfAuthor
Indicates the language in which an author writes or has written their works.
-
E.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12889f504819089830202e64d97b0 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.