Triple
T21178214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confession of Cyril Lucaris |
E521870
|
entity |
| Predicate | positionOnSaints |
P143175
|
FINISHED |
| Object | retains veneration of saints |
—
|
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: retains veneration of saints | Statement: [Confession of Cyril Lucaris, positionOnSaints, retains veneration of saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnSaints Context triple: [Confession of Cyril Lucaris, positionOnSaints, retains veneration of saints]
-
A.
numberOfSaints
Indicates the numerical count of saints associated with a given entity or context.
-
B.
mainSaint
Indicates that one entity is recognized as the principal or patron saint associated with another entity (such as a place, institution, or group).
-
C.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
D.
linkedToSaint
Indicates that one entity has a direct association or connection with a saint.
-
E.
portraysAsSaint
Indicates that one entity depicts or represents another entity as a saintly, holy, or morally exemplary figure.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301b41908190bc104aa748a0346d |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3 p.m.