Triple
T19748800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Hour of Grace |
E474320
|
entity |
| Predicate | hasSpiritualPurpose |
P22161
|
FINISHED |
| Object | seeking graces through Mary |
—
|
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: seeking graces through Mary | Statement: [Marian Hour of Grace, hasSpiritualPurpose, seeking graces through Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpiritualPurpose Context triple: [Marian Hour of Grace, hasSpiritualPurpose, seeking graces through Mary]
-
A.
hasSpiritualDimension
Indicates that something possesses or involves a non-material, spiritual, or transcendent aspect or quality.
-
B.
hasSpiritualLife
Indicates that an entity possesses or engages in a spiritual or religious inner life, practice, or orientation.
-
C.
hasTheologicalPurpose
chosen
Indicates that something is intended or designed to serve a religious or theological function or goal.
-
D.
hasSpiritualSource
Indicates that something originates from, is derived from, or is fundamentally grounded in a spiritual or non-material source.
-
E.
hasMoralPurpose
Indicates that an entity, action, or decision is guided by or oriented toward ethical values, principles, or morally significant goals.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65296fa80819085aa4a18153531cf |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.