Triple
T23146312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seasons (for tuba quartet) |
E577600
|
entity |
| Predicate | hasMovement |
P2459
|
FINISHED |
| Object | Spring |
—
|
NE NERFINISHED |
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: Spring | Statement: [Seasons (for tuba quartet), hasMovement, Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Context triple: [Seasons (for tuba quartet), hasMovement, Spring]
-
A.
Spring
"Spring" is a 2019 novel by Ali Smith, part of her acclaimed Seasonal Quartet, that intertwines contemporary politics, migration, and art in a formally inventive narrative.
-
B.
Spring
Spring is a widely used Java application framework that simplifies building enterprise-level, modular, and testable applications.
-
C.
Spring
chosen
"Spring" is the opening section of Joseph Haydn’s oratorio *The Seasons*, depicting the renewal of nature and rural life at the start of the year.
-
D.
Spring
"Spring" is the popular nickname of Robert Schumann’s Symphony No. 1 in B-flat major, Op. 38, celebrated for its bright, optimistic character evocative of the season.
-
E.
Spring
Spring is a feminine given name most notably borne by American actress Spring Byington.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.