Triple
T20147015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Bright Future |
E491327
|
entity |
| Predicate | hasTrack |
P3284
|
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: [Our Bright Future, hasTrack, Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Context triple: [Our Bright Future, hasTrack, Spring]
-
A.
Spring
Spring is a suburban community in the Houston metropolitan area of Texas, known for its residential neighborhoods, schools, and proximity to major transportation routes.
-
B.
Spring
Spring is a widely used Java application framework that simplifies building enterprise-level, modular, and testable applications.
-
C.
Spring
"Spring" is a classic Soviet musical comedy film starring Lyubov Orlova, celebrated for its lighthearted tone, memorable songs, and satirical portrayal of postwar Soviet society.
-
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
chosen
"Spring" is a multi-movement instrumental track from Lupe Fiasco’s concept album *Tetsuo & Youth*, known for its intricate composition and seasonal theme.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.