Triple
T37156928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John the Baptist Preaching in the Wilderness |
E920533
|
entity |
| Predicate | depictsBiblicalBook |
P128744
|
FINISHED |
| Object | Gospel of Matthew |
—
|
NE NERFINISHED |
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: Gospel of Matthew | Statement: [St. John the Baptist Preaching in the Wilderness, depictsBiblicalBook, Gospel of Matthew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsBiblicalBook Context triple: [St. John the Baptist Preaching in the Wilderness, depictsBiblicalBook, Gospel of Matthew]
-
A.
associatedBiblicalBook
Indicates that one entity is linked or connected to a specific book of the Bible as its relevant or referenced scriptural source.
-
B.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
C.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author of another entity.
-
D.
hasScripture
Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
-
E.
depictsLiteraryWork
chosen
Indicates that one entity visually represents, illustrates, or portrays the content, scenes, or themes of a specific literary work.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:15 p.m.