Triple
T36592489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint Basil the Great |
E902707
|
entity |
| Predicate | saintRole |
P53541
|
FINISHED |
| Object | bishop of Caesarea |
—
|
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: bishop of Caesarea | Statement: [Feast of Saint Basil the Great, saintRole, bishop of Caesarea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saintRole Context triple: [Feast of Saint Basil the Great, saintRole, bishop of Caesarea]
-
A.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
B.
portraysAsSaint
Indicates that one entity depicts or represents another entity as a saintly, holy, or morally exemplary figure.
-
C.
religiousHierarchyRole
Indicates that one entity holds a specific position or rank within a religious hierarchy in relation to another entity or institution.
-
D.
associatedSaintOccupation
chosen
Indicates the occupation or role that is linked to or held by a particular saint.
-
E.
liturgicalRole
Indicates the specific function or position an entity holds within a religious or liturgical context.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.