Triple
T34384596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Jerome Writing |
E882523
|
entity |
| Predicate | depictsFigureType |
P20492
|
FINISHED |
| Object | elderly man |
—
|
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: elderly man | Statement: [Saint Jerome Writing, depictsFigureType, elderly man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsFigureType Context triple: [Saint Jerome Writing, depictsFigureType, elderly man]
-
A.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
B.
includesFigureType
Indicates that one entity contains or encompasses a specific type or category of figure within it.
-
C.
figureType
Indicates that one entity is classified as a specific type or category of figure in relation to another entity.
-
D.
depictsClass
chosen
Indicates that one entity visually represents or portrays a particular class or category of entities.
-
E.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:59 a.m.