Triple
T37626960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Gethsemani |
E936238
|
entity |
| Predicate | emphasizesRoleOfMaryAs |
P188541
|
FINISHED |
| Object | companion of Christ in his suffering |
—
|
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: companion of Christ in his suffering | Statement: [Our Lady of Gethsemani, emphasizesRoleOfMaryAs, companion of Christ in his suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesRoleOfMaryAs Context triple: [Our Lady of Gethsemani, emphasizesRoleOfMaryAs, companion of Christ in his suffering]
-
A.
depictionOfMary
Indicates that something is a visual or artistic representation of Mary.
-
B.
venerationOfMary
Indicates a relationship in which an entity shows reverence, honor, or devotional respect toward Mary.
-
C.
reportedTitleOfMary
Indicates that the specified title is one that has been reported or recorded as belonging to Mary.
-
D.
voiceTypeOfMary
Indicates the specific vocal classification or type that characterizes Mary’s voice.
-
E.
emphasizesAttributeOfChrist
Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of Christ.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.