Triple
T25999834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna and Child with Saints (Ruspoli Altarpiece) |
E646588
|
entity |
| Predicate | creatorReligiousOrder |
P138746
|
FINISHED |
| Object | Dominican |
—
|
NE NERFINISHED |
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: Dominican | Statement: [Madonna and Child with Saints (Ruspoli Altarpiece), creatorReligiousOrder, Dominican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorReligiousOrder Context triple: [Madonna and Child with Saints (Ruspoli Altarpiece), creatorReligiousOrder, Dominican]
-
A.
founderReligiousOrder
Indicates that a person established or created a particular religious order.
-
B.
religiousOrderName
chosen
Indicates the specific name of the religious order with which an entity is affiliated or associated.
-
C.
founderOfOrder
Indicates that an entity established or created a particular order, organization, or structured group.
-
D.
religiousOrderOrRole
Indicates that an entity has a specific religious affiliation, order, or role within a religious tradition.
-
E.
inspiredReligiousOrder
Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 22, 2026, 8:58 a.m.