Triple
T10221931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina of Denmark portrait |
E242600
|
entity |
| Predicate | depictsExpression |
P78812
|
FINISHED |
| Object | reserved and composed |
—
|
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: reserved and composed | Statement: [Christina of Denmark portrait, depictsExpression, reserved and composed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsExpression Context triple: [Christina of Denmark portrait, depictsExpression, reserved and composed]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsMood
chosen
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
C.
depictedAbove
Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
-
D.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
E.
depictsName
Indicates that something visually represents or portrays the name of an 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa740db88190ba707226e36de0ed |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:10 a.m.