Triple
T38674216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Education of the Virgin by Jean Jouvenet |
E943684
|
entity |
| Predicate | depictsAgeOfVirginMary |
P154830
|
FINISHED |
| Object | child |
—
|
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: child | Statement: [The Education of the Virgin by Jean Jouvenet, depictsAgeOfVirginMary, child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAgeOfVirginMary Context triple: [The Education of the Virgin by Jean Jouvenet, depictsAgeOfVirginMary, child]
-
A.
depictionOfMary
chosen
Indicates that something is a visual or artistic representation of Mary.
-
B.
depictionOfAgeOfJesus
Indicates that the subject is a depiction specifying or representing the age of Jesus.
-
C.
venerationOfMary
Indicates a relationship in which an entity shows reverence, honor, or devotional respect toward Mary.
-
D.
depictsSacrament
Indicates that one entity visually represents or portrays a religious sacrament associated with another entity.
-
E.
ageDepictionConsistency
Indicates that the depicted age of an entity is consistent with its known or expected age within the given context.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:33 p.m.