Triple
T11430223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruskin v. Whistler libel case |
E270858
|
entity |
| Predicate | consequenceForWhistler |
P99261
|
FINISHED |
| Object | financial difficulties |
—
|
LITERAL 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: financial difficulties | Statement: [Ruskin v. Whistler libel case, consequenceForWhistler, financial difficulties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForWhistler Context triple: [Ruskin v. Whistler libel case, consequenceForWhistler, financial difficulties]
-
A.
featuresSnowEffects
Indicates that something includes or displays visual or environmental effects related to falling or accumulated snow.
-
B.
blowsDownSlopeOf
Indicates that something (typically wind or air) moves or exerts force downward along the incline or gradient of a slope relative to another entity.
-
C.
hasSkiLiftConnectionTo
Indicates a relationship where one location is directly connected to another by a ski lift, allowing travel between them via that lift.
-
D.
snowmaking
Indicates the artificial production of snow, typically by machines, for use in places like ski slopes or winter recreation areas.
-
E.
terminusResort
Indicates that one entity serves as the final destination or endpoint location (terminus) associated with a particular resort.
- F. None of above. chosen
Provenance (4 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.