Triple
T3699196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of a Man |
E78534
|
entity |
| Predicate | nationalityOfArtist |
P32389
|
FINISHED |
| Object | Dutch |
—
|
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: Dutch | Statement: [Portrait of a Man, nationalityOfArtist, Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfArtist Context triple: [Portrait of a Man, nationalityOfArtist, Dutch]
-
A.
primaryArtistNationality
chosen
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
D.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
E.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc513d26c8190bfdf25f62af8c6ca |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.