Triple
T9365239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Patricia of Connaught |
E225382
|
entity |
| Predicate | artisticOccupation |
P9512
|
FINISHED |
| Object | watercolour painter |
—
|
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: watercolour painter | Statement: [Princess Patricia of Connaught, artisticOccupation, watercolour painter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticOccupation Context triple: [Princess Patricia of Connaught, artisticOccupation, watercolour painter]
-
A.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
B.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
C.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
D.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
E.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5041261c81909edab3b7fcd1fe22 |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.