Triple
T36434969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John J. McAuliffe |
E897548
|
entity |
| Predicate | clericalOrderOrSociety |
P20285
|
FINISHED |
| Object | Society of African Missions |
—
|
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 African Missions | Statement: [John J. McAuliffe, clericalOrderOrSociety, Society of African Missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalOrderOrSociety Context triple: [John J. McAuliffe, clericalOrderOrSociety, Society of African Missions]
-
A.
religiousOrderAssociation
chosen
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
-
B.
religiousOrderCode
Indicates the specific religious order or denomination with which an entity is affiliated, represented by a standardized code.
-
C.
electeeReligiousOrder
Indicates that an electee is affiliated with, or a member of, a specific religious order.
-
D.
religiousOrderName
Indicates the specific name of the religious order with which an entity is affiliated or associated.
-
E.
religiousOrderOrRole
Indicates that an entity has a specific religious affiliation, order, or role within a religious tradition.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.