Triple
T28656702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Koridethi |
E725352
|
entity |
| Predicate | textTypeInGospelOfMatthew |
P6836
|
FINISHED |
| Object | mixed text |
—
|
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: mixed text | Statement: [Codex Koridethi, textTypeInGospelOfMatthew, mixed text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTypeInGospelOfMatthew Context triple: [Codex Koridethi, textTypeInGospelOfMatthew, mixed text]
-
A.
nameInCanonicalGospels
Indicates that a person or entity is explicitly named in at least one of the four canonical Christian gospels (Matthew, Mark, Luke, or John).
-
B.
scriptureType
chosen
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
scriptureCharacterType
Indicates the type or role a character has within a scriptural or religious text (e.g., prophet, deity, disciple).
-
D.
usesScriptureType
Indicates that one entity employs or is based on a particular type or classification of scripture.
-
E.
textInKJV
Indicates that a given text or passage appears within the King James Version (KJV) of the Bible.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 4:55 a.m.