Triple
T15635844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Marie Antoinette with her Children |
E375942
|
entity |
| Predicate | depictsEmptyCradle |
P119547
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Portrait of Marie Antoinette with her Children, depictsEmptyCradle, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsEmptyCradle Context triple: [Portrait of Marie Antoinette with her Children, depictsEmptyCradle, yes]
-
A.
hasNoDepictionOf
Indicates that the subject lacks any visual or graphical representation of the specified object or concept.
-
B.
cradleOf
Indicates the place or context where something originated, developed, or was first nurtured.
-
C.
depictsChild
Indicates that one entity visually represents or portrays another entity in the role or state of being a child.
-
D.
speaksAsInfantInCradle
Indicates that an entity performs speech or vocalization in the manner of an infant lying in a cradle.
-
E.
skeletonLacks
Indicates that an entity’s skeleton does not possess or is missing a specified bone, feature, or structural component.
- F. None of above. chosen
Provenance (4 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.