Triple
T281191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impressionism |
E5357
|
entity |
| Predicate | firstExhibitionYear |
P3484
|
FINISHED |
| Object | 1874 |
—
|
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: 1874 | Statement: [Impressionism, firstExhibitionYear, 1874]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstExhibitionYear Context triple: [Impressionism, firstExhibitionYear, 1874]
-
A.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
B.
majorExpositionYear
chosen
Indicates the year in which a major exposition, exhibition, or similar large-scale public event took place or was held.
-
C.
firstOfficialClaimYear
Indicates the year in which an entity was first officially claimed, recorded, or recognized in an authoritative capacity.
-
D.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
E.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
- F. None of above.
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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.