Triple
T28017500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Martinozzi |
E707586
|
entity |
| Predicate | patronageNetwork |
P164379
|
FINISHED |
| Object | Cardinal Mazarin’s clientele |
—
|
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: Cardinal Mazarin’s clientele | Statement: [House of Martinozzi, patronageNetwork, Cardinal Mazarin’s clientele]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patronageNetwork Context triple: [House of Martinozzi, patronageNetwork, Cardinal Mazarin’s clientele]
-
A.
patronageFocus
Indicates the primary area, subject, or domain that is the focus of an entity’s support, sponsorship, or patronage.
-
B.
patronage
Indicates a relationship where one party supports, sponsors, or protects another, often in exchange for loyalty, services, or influence.
-
C.
patronageFrom
Indicates a relationship where support, sponsorship, or backing is provided to someone or something by a patron.
-
D.
patronageArea
Indicates the geographic or administrative area within which a patron (such as a sponsor, supporter, or benefactor) exercises their support, influence, or protective role.
-
E.
patronageStyle
Indicates the manner or characteristic way in which support, sponsorship, or patronage is provided in a relationship.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 8:07 p.m.