Triple
T31587497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motives to the Catholic Faith |
E805993
|
entity |
| Predicate | addressesCriticismFrom |
P174856
|
FINISHED |
| Object | Protestantism |
—
|
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: Protestantism | Statement: [Motives to the Catholic Faith, addressesCriticismFrom, Protestantism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesCriticismFrom Context triple: [Motives to the Catholic Faith, addressesCriticismFrom, Protestantism]
-
A.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
B.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
C.
sometimesCriticizedFor
Indicates that an entity is on occasion the target of criticism for a particular reason, behavior, or attribute.
-
D.
criticizesPosition
Indicates that one entity expresses disapproval of, challenges, or points out flaws in another entity’s stance, viewpoint, or argument.
-
E.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: April 30, 2026, 10:26 p.m.