Triple
T27617806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weaning of Isaac |
E700484
|
entity |
| Predicate | usedAsAllegoryBy |
P77707
|
FINISHED |
| Object | Paul the Apostle |
—
|
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: Paul the Apostle | Statement: [Weaning of Isaac, usedAsAllegoryBy, Paul the Apostle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsAllegoryBy Context triple: [Weaning of Isaac, usedAsAllegoryBy, Paul the Apostle]
-
A.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
B.
politicalAllegoryFor
Indicates that one entity symbolically represents or critiques another entity, event, or system within a political context.
-
C.
allegoricalInterpretation
chosen
Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
-
D.
allegoryType
Indicates that one entity serves as a specific kind or category of allegory in relation to another entity.
-
E.
hasAllegoricalFigures
Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 2:13 p.m.