Triple
T10247118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispanic Catholics |
E240243
|
entity |
| Predicate | viewMaryAs |
P93181
|
FINISHED |
| Object | motherly protector |
—
|
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: motherly protector | Statement: [Hispanic Catholics, viewMaryAs, motherly protector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewMaryAs Context triple: [Hispanic Catholics, viewMaryAs, motherly protector]
-
A.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
B.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
C.
viewOnMarja
Indicates that one entity holds a particular opinion, perspective, or evaluative stance regarding a specific marja (religious authority).
-
D.
viewOnGood
Indicates a positive or approving perspective held toward something.
-
E.
viewOnMatter
Indicates a stance, opinion, or perspective that one entity holds regarding a particular issue, topic, or matter.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d32741888190928b045e2241cfac |
completed | April 7, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.