Triple
T6156037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Didacus of Alcalá |
E137321
|
entity |
| Predicate | devotionalTitle |
P69498
|
FINISHED |
| Object | Confessor |
—
|
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: Confessor | Statement: [Saint Didacus of Alcalá, devotionalTitle, Confessor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devotionalTitle Context triple: [Saint Didacus of Alcalá, devotionalTitle, Confessor]
-
A.
devotionalObject
Indicates that one entity is used by or associated with another as an object of religious or spiritual devotion.
-
B.
hasDevotionalFormula
Indicates a relationship where one entity includes, uses, or is associated with a specific devotional formula (such as a set religious phrase, prayer, or invocation).
-
C.
associatedDevotion
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
D.
devotionalDayCommon
Indicates that two or more entities share the same religious or spiritual day of devotion or observance.
-
E.
ritualTitle
Indicates the formal name or designation assigned to a specific ritual within a cultural, religious, or ceremonial context.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d0376408190a2233375f478377e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:17 p.m.