Triple
T14906735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter (painting) |
E371150
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Winter |
E371150
|
NE 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: Winter | Statement: [Winter (painting), title, Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winter Context triple: [Winter (painting), title, Winter]
-
A.
Winter
chosen
"Winter" is an 1873 allegorical painting by French artist Pierre Puvis de Chavannes, depicting a serene, muted landscape that embodies the quiet austerity of the winter season.
-
B.
Winter
Winter is a surname of Germanic origin borne by various notable individuals, including the American blues guitarist Johnny Winter.
-
C.
Winter
Winter is the coldest season of the year, typically marked by low temperatures, shorter days, and often snow or frost in many regions.
-
D.
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.
-
E.
Winter
Winter is a Swedish-born actress known for her roles in television series such as "Dexter" and "Sleepy Hollow."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61b3c808190b4f6df4e5cb401ad |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:19 a.m.