Triple
T9535363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diotrephes |
E229999
|
entity |
| Predicate | scripturalBookType |
P6836
|
FINISHED |
| Object | epistle |
—
|
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: epistle | Statement: [Diotrephes, scripturalBookType, epistle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scripturalBookType Context triple: [Diotrephes, scripturalBookType, epistle]
-
A.
scriptureType
chosen
Indicates the classification or category of a scripture in relation to its type or genre.
-
B.
usesScriptureType
Indicates that one entity employs or is based on a particular type or classification of scripture.
-
C.
scripturalBookNamedAfter
Indicates that a scriptural book bears the name of a particular person, place, or entity.
-
D.
scripturalBookCommented
Indicates that one entity is a scriptural book on which another entity (such as a commentary or commentator) provides explanatory or interpretive comments.
-
E.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cc58bc8190ba921410e4b64aaa |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.