Triple
T24996971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Roosevelt Bayley |
E625596
|
entity |
| Predicate | promotedCatholicEducation |
P157530
|
FINISHED |
| Object | Maryland |
—
|
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: Maryland | Statement: [James Roosevelt Bayley, promotedCatholicEducation, Maryland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotedCatholicEducation Context triple: [James Roosevelt Bayley, promotedCatholicEducation, Maryland]
-
A.
promotedCatholicEducation
chosen
Indicates that an entity actively supported, advanced, or advocated for Catholic education.
-
B.
educationalApostolateIncludes
Indicates that a broader educational apostolate encompasses or contains a particular educational activity, program, or initiative as one of its components.
-
C.
offersReligiousEducation
Indicates that one entity provides or makes available instruction or educational programs related to religion to another entity.
-
D.
clergyEducation
Indicates that one entity has received formal religious or theological training or education qualifying them for clergy or ministerial roles in relation to another entity or institution.
-
E.
promotedReligion
Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:04 a.m.