Triple
T15558121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Business at Olivet Nazarene University |
E370922
|
entity |
| Predicate | religiousOrientationOfParent |
P119169
|
FINISHED |
| Object | Christian |
—
|
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: Christian | Statement: [School of Business at Olivet Nazarene University, religiousOrientationOfParent, Christian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousOrientationOfParent Context triple: [School of Business at Olivet Nazarene University, religiousOrientationOfParent, Christian]
-
A.
hasReligiousParent
Indicates that an entity has a parent who is associated with or practices a particular religion.
-
B.
fatherReligion
Indicates the religious affiliation or belief system practiced or identified with by a person's father.
-
C.
religiousFamilyBackground
Indicates that two entities are related through a shared or specified religious family upbringing or heritage.
-
D.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
-
E.
religiousOrientationRole
Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.