Triple
T6176690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Wright of Derby paintings |
E137836
|
entity |
| Predicate | latestProductionYear |
P69257
|
FINISHED |
| Object | 1797 |
—
|
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: 1797 | Statement: [Joseph Wright of Derby paintings, latestProductionYear, 1797]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestProductionYear Context triple: [Joseph Wright of Derby paintings, latestProductionYear, 1797]
-
A.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
B.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
-
C.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
D.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
E.
lastLifetimeEditionYear
Indicates the year in which the most recent lifetime edition of an entity (such as a work or product) was issued or became available.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc87bc48190834042d9c41d5b86 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.