Triple
T38635094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congregation of Jesus |
E937555
|
entity |
| Predicate | founderReligiousStatus |
P200315
|
FINISHED |
| Object | English nun |
—
|
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: English nun | Statement: [Congregation of Jesus, founderReligiousStatus, English nun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderReligiousStatus Context triple: [Congregation of Jesus, founderReligiousStatus, English nun]
-
A.
hasReligiousFounderAssociated
Indicates that an entity is associated with a specific religious founder, typically through origin, dedication, or foundational influence.
-
B.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
C.
hasFounderOfReligion
Indicates that an entity is the person who founded or established a particular religion.
-
D.
founderOfReligionAssociated
Indicates that a person is the founder of a religion with which another entity is associated.
-
E.
creatorReligiousAffiliation
Indicates the religious affiliation or tradition with which a creator is associated.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69ff7fc715208190a8e4e2cc5aa72d2c |
completed | May 9, 2026, 6:41 p.m. |
Created at: May 3, 2026, 4:32 p.m.