Triple
T23374867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainthood in Eastern Christianity |
E593580
|
entity |
| Predicate | termUsed |
P46176
|
FINISHED |
| Object | glorification |
—
|
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: glorification | Statement: [Sainthood in Eastern Christianity, termUsed, glorification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termUsed Context triple: [Sainthood in Eastern Christianity, termUsed, glorification]
-
A.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
B.
termAlsoUsedFor
chosen
Indicates that one term is also used to refer to the same or closely related concept as another term.
-
C.
useOfTerm
Indicates that one entity employs or applies a specific term or expression in reference to another entity or context.
-
D.
collectiveTermUsed
Indicates that one entity is used as a collective term referring to a group or class of other entities.
-
E.
termUsedForMembers
Indicates the specific word or label that is used to refer to the members of a particular group or organization.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.