Triple
T22187277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atalanta Baglioni |
E548326
|
entity |
| Predicate | genreOfCommissionedWork |
P85807
|
FINISHED |
| Object | religious painting |
—
|
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: religious painting | Statement: [Atalanta Baglioni, genreOfCommissionedWork, religious painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfCommissionedWork Context triple: [Atalanta Baglioni, genreOfCommissionedWork, religious painting]
-
A.
genreOfCommissionedWorks
chosen
Indicates the artistic or literary genre that characterizes the works an entity has commissioned.
-
B.
genreOfWorkPerformedIn
Indicates that a specified genre characterizes the type of work that is performed in a particular event, context, or setting.
-
C.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
-
E.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aaa32288190830f6dfc626fb26a |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.