Triple
T1000970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Family |
E21600
|
entity |
| Predicate | commonDepiction |
P18297
|
FINISHED |
| Object | Jesus as a child with Mary and Joseph |
—
|
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: Jesus as a child with Mary and Joseph | Statement: [Holy Family, commonDepiction, Jesus as a child with Mary and Joseph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDepiction Context triple: [Holy Family, commonDepiction, Jesus as a child with Mary and Joseph]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
oftenDepictedAs
chosen
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
-
C.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
D.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
E.
depictionPurpose
Indicates that one entity is depicted specifically for the purpose or function it serves in relation to 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.