Triple
T10654959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Devotion to Mary |
E251063
|
entity |
| Predicate | viewOfMary |
P93181
|
FINISHED |
| Object | Mary as the surest way to Jesus |
—
|
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: Mary as the surest way to Jesus | Statement: [True Devotion to Mary, viewOfMary, Mary as the surest way to Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOfMary Context triple: [True Devotion to Mary, viewOfMary, Mary as the surest way to Jesus]
-
A.
viewMaryAs
chosen
Indicates that one entity perceives, regards, or interprets Mary in a particular way or role.
-
B.
viewOnMarja
Indicates that one entity holds a particular opinion, perspective, or evaluative stance regarding a specific marja (religious authority).
-
C.
viewOnChrist
Indicates a person's stance, belief, or perspective regarding Jesus Christ.
-
D.
viewOfGoddess
Indicates a relationship where something visually depicts, represents, or shows an image or perspective of a goddess.
-
E.
viewOfWill
Indicates a relationship where something represents, expresses, or reflects the will, intention, or volition of an agent.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff94c188190b1a822c3720d18b7 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.