Triple
T34246592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convent of San Marco |
E878614
|
entity |
| Predicate | personAssociatedWith |
P112751
|
FINISHED |
| Object | Girolamo Savonarola |
—
|
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: Girolamo Savonarola | Statement: [Convent of San Marco, personAssociatedWith, Girolamo Savonarola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personAssociatedWith Context triple: [Convent of San Marco, personAssociatedWith, Girolamo Savonarola]
-
A.
peopleAssociatedWith
Indicates that there exists some form of connection, involvement, or relationship between the referenced people.
-
B.
personAssociatedPlace
chosen
Indicates that a person has a notable connection or association with a particular place, such as residence, origin, work, or frequent presence.
-
C.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
D.
namedPersonAssociation
Indicates a relationship where one entity is associated with or identified by a specific personal name.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.