Triple
T430788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastertide |
E9706
|
entity |
| Predicate | scriptureFocus |
P13855
|
FINISHED |
| Object | post-resurrection appearances of Jesus |
—
|
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: post-resurrection appearances of Jesus | Statement: [Eastertide, scriptureFocus, post-resurrection appearances of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptureFocus Context triple: [Eastertide, scriptureFocus, post-resurrection appearances of Jesus]
-
A.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
-
B.
inScripture
Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
-
C.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
D.
scriptureAllusion
Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
-
E.
scripturalReference
Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb93584819082f23eff13e17c4f |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.