Triple
T28592216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDowell |
E723681
|
entity |
| Predicate | residenciesType |
P166882
|
FINISHED |
| Object | fully funded residencies |
—
|
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: fully funded residencies | Statement: [MacDowell, residenciesType, fully funded residencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenciesType Context triple: [MacDowell, residenciesType, fully funded residencies]
-
A.
artistResidence
Indicates that a given location is the place where an artist lives or is based.
-
B.
residencyShow
Indicates a performance arrangement where an artist or group repeatedly presents a show at the same venue over an extended period.
-
C.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
D.
offersResidencyPrograms
Indicates that an entity provides or makes available formal residency training programs to individuals.
-
E.
hostedResidencyBy
Indicates that an entity organized and provided a residency program for 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:20 a.m.