Triple
T24175682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary as Mediatrix |
E599275
|
entity |
| Predicate | taughtWithClarification |
P56163
|
FINISHED |
| Object | does not diminish Christ’s unique mediation |
—
|
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: does not diminish Christ’s unique mediation | Statement: [Mary as Mediatrix, taughtWithClarification, does not diminish Christ’s unique mediation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtWithClarification Context triple: [Mary as Mediatrix, taughtWithClarification, does not diminish Christ’s unique mediation]
-
A.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
B.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
C.
commandedToBeTaught
Indicates that one entity has issued an instruction that another entity is to be taught or instructed in something.
-
D.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
-
E.
clarifiesThat
chosen
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.