Triple
T13050691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GospelOfHebrews |
E327439
|
entity |
| Predicate | includedInNewTestamentCanon |
P108450
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [GospelOfHebrews, includedInNewTestamentCanon, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInNewTestamentCanon Context triple: [GospelOfHebrews, includedInNewTestamentCanon, false]
-
A.
sharesNewTestamentCanonWith
Indicates that two entities recognize and use the same set of New Testament canonical books.
-
B.
inChristianCanonOrder
Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
-
C.
earlyNewTestamentOmissions
Indicates that a referenced element, passage, or feature is absent from the earliest New Testament manuscripts or textual witnesses.
-
D.
numberOfNewTestamentBooks
Indicates the total count of books contained in the New Testament.
-
E.
bookNumberInNewTestament
Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:57 p.m.