Triple
T11350070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paschal mystery |
E268817
|
entity |
| Predicate | effectOnHumanity |
P43904
|
FINISHED |
| Object | redemption of humanity |
—
|
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: redemption of humanity | Statement: [Paschal mystery, effectOnHumanity, redemption of humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnHumanity Context triple: [Paschal mystery, effectOnHumanity, redemption of humanity]
-
A.
impactOnHumans
chosen
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
C.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
D.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
E.
effectOnPolity
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.