Triple
T19889079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilate’s wife |
E477980
|
entity |
| Predicate | nameInCanonicalGospels |
P137718
|
FINISHED |
| Object | not given |
—
|
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: not given | Statement: [Pilate’s wife, nameInCanonicalGospels, not given]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameInCanonicalGospels Context triple: [Pilate’s wife, nameInCanonicalGospels, not given]
-
A.
numberOfCanonicalGospels
Indicates the count of canonical gospels associated with a given religious tradition or context.
-
B.
positionAmongGospels
Indicates the numerical order or placement of a given gospel within the sequence of all gospels.
-
C.
inChristianCanonOrder
Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
-
D.
scripturalBookNamedAfter
Indicates that a scriptural book bears the name of a particular person, place, or entity.
-
E.
canonizedScriptureIn
Indicates that a text or scripture has been formally recognized and included as canonical within a particular religious tradition, community, or collection.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590c1b9c8190abbfaa04b80713b3 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.