Triple
T7916615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainte-Chapelle |
E183842
|
entity |
| Predicate | stainedGlassDepicts |
P49031
|
FINISHED |
| Object | biblical scenes |
—
|
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: biblical scenes | Statement: [Sainte-Chapelle, stainedGlassDepicts, biblical scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainedGlassDepicts Context triple: [Sainte-Chapelle, stainedGlassDepicts, biblical scenes]
-
A.
stainedGlassArtist
Indicates that one entity is a stained glass artist who creates or designs stained glass works in relation to another entity.
-
B.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
C.
iconographicSubject
chosen
Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
-
D.
hasStainedGlass
Indicates that one entity possesses or features stained glass as part of its structure or design.
-
E.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a76ae688190b068e4c92603a16d |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:05 p.m.