Triple
T23146315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seasons (for tuba quartet) |
E577600
|
entity |
| Predicate | hasMovement |
P2459
|
FINISHED |
| Object | Winter |
—
|
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: Winter | Statement: [Seasons (for tuba quartet), hasMovement, Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winter Context triple: [Seasons (for tuba quartet), hasMovement, Winter]
-
A.
Winter
Winter is a surname of Germanic origin borne by various notable individuals, including the American blues guitarist Johnny Winter.
-
B.
Winter
chosen
Winter is the coldest season of the year, typically marked by low temperatures, shorter days, and often snow or frost in many regions.
-
C.
Winter
"Winter" is a song by the Rolling Stones from their 1973 album *Goats Head Soup*, noted for its reflective lyrics and atmospheric, melancholic sound.
-
D.
Winter
Winter is a 17th-century landscape painting by Nicolas Poussin, part of his famous series depicting the Four Seasons through biblical scenes.
-
E.
Winter
Winter is a given name that can be used for people of any gender, often evoking associations with the coldest season of the year.
- 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.