Triple
T33849910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Auki |
E867592
|
entity |
| Predicate | GerardFrancisLoftReligiousOrder |
P177786
|
FINISHED |
| Object | Society of Mary |
—
|
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: Society of Mary | Statement: [Roman Catholic Diocese of Auki, GerardFrancisLoftReligiousOrder, Society of Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GerardFrancisLoftReligiousOrder Context triple: [Roman Catholic Diocese of Auki, GerardFrancisLoftReligiousOrder, Society of Mary]
-
A.
founderReligiousOrder
Indicates that a person established or created a particular religious order.
-
B.
founderOfOrder
Indicates that an entity established or created a particular order, organization, or structured group.
-
C.
founderOfMonastery
Indicates that a person established or founded a particular monastery.
-
D.
religiousFigure
Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
-
E.
inspiredReligiousOrder
Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.