Triple
T28729744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Smith, British Consul at Venice |
E730623
|
entity |
| Predicate | patron of |
P165270
|
FINISHED |
| Object | Canaletto |
—
|
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: Canaletto | Statement: [Joseph Smith, British Consul at Venice, patron of, Canaletto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patron of Context triple: [Joseph Smith, British Consul at Venice, patron of, Canaletto]
-
A.
patroness
Indicates that a female person supports, sponsors, or acts as a benefactor for someone or something.
-
B.
familyPatronOf
Indicates a relationship where one family acts as a patron, sponsor, or protector providing support or resources to another party.
-
C.
patronOfForces
Indicates a relationship where an entity serves as a protector, sponsor, or guiding supporter of certain forces (such as military, spiritual, or natural powers).
-
D.
patronageFrom
Indicates a relationship where support, sponsorship, or backing is provided to someone or something by a patron.
-
E.
cityPatron
Indicates that one entity serves as the patron, protector, or special guardian of a particular city.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657673c348190a522dd164d2042fd |
completed | May 2, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:57 a.m.