Triple
T8384599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Subtle Enemies of Holiness |
E197781
|
entity |
| Predicate | critiquesTendency |
P50921
|
FINISHED |
| Object | to separate intellect from lived charity |
—
|
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: to separate intellect from lived charity | Statement: [Two Subtle Enemies of Holiness, critiquesTendency, to separate intellect from lived charity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: critiquesTendency Context triple: [Two Subtle Enemies of Holiness, critiquesTendency, to separate intellect from lived charity]
-
A.
critiquesConcept
chosen
Indicates that one entity analyzes, evaluates, or challenges the ideas or principles represented by another entity.
-
B.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
C.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
D.
criticismReason
Indicates that one entity criticizes another entity specifically because of the stated reason.
-
E.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e03eb08190a458c9caa0524e0f |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.