Triple
T7148667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastorals |
E166633
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Winter |
E580032
|
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: [Pastorals, hasPart, Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winter Context triple: [Pastorals, hasPart, Winter]
-
A.
Winter
"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 2017 novel by Scottish author Ali Smith, the second book in her acclaimed seasonal quartet exploring contemporary politics, family, and art.
-
C.
Winter
"Winter" is a poetry collection by Canadian writer Patrick Lane that reflects his acclaimed lyrical style and often explores themes of memory, nature, and mortality.
-
D.
Winter
chosen
"Winter" is the final section of Joseph Haydn’s oratorio *The Seasons*, depicting the cold, hardship, and reflective mood of the year’s closing months through vivid choral and orchestral writing.
-
E.
Winter
"Winter" is an episode of the science documentary series *Frozen Planet* that explores how animals and ecosystems survive and adapt during the harsh polar winter.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d6313c8190bdd34e700fc65502 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada513388190a02a3733bfedf0f7 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.