Triple
T17738064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Lobkowicz |
E442775
|
entity |
| Predicate | familyPatronOf |
P128806
|
FINISHED |
| Object | classical music |
—
|
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: classical music | Statement: [Martin Lobkowicz, familyPatronOf, classical music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyPatronOf Context triple: [Martin Lobkowicz, familyPatronOf, classical music]
-
A.
patronFamilyOf
Indicates a familial relationship in which one family acts as a patron, protector, or benefactor to another family.
-
B.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
C.
patronFamily
Indicates that one family serves as a patron or protector, providing support or sponsorship to another family.
-
D.
patronageFrom
Indicates a relationship where support, sponsorship, or backing is provided to someone or something by a patron.
-
E.
primaryPatron
Indicates that one entity serves as the main or chief supporter, sponsor, or benefactor of another entity.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47aca27448190943c75e723ceefcc |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.