Triple
T23133092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederik Bloemaert |
E577231
|
entity |
| Predicate | roleInFatherWork |
P151041
|
FINISHED |
| Object | reproduced paintings and drawings of Abraham Bloemaert |
—
|
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: reproduced paintings and drawings of Abraham Bloemaert | Statement: [Frederik Bloemaert, roleInFatherWork, reproduced paintings and drawings of Abraham Bloemaert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFatherWork Context triple: [Frederik Bloemaert, roleInFatherWork, reproduced paintings and drawings of Abraham Bloemaert]
-
A.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
B.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
C.
parentWorkTitle
Indicates that the value is the title of a larger or original work of which the current item is a part, adaptation, or derivative.
-
D.
roleInSpouseCareer
Indicates the nature or extent of a person’s involvement or influence in their spouse’s professional career.
-
E.
householdRoleOfMother
Indicates the specific role or function that a mother holds within the household context.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e89cce881908727a94dbc00e031 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.