Triple
T18546596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Vues de l’Indochine panoramic wallpaper |
E453249
|
entity |
| Predicate | subjectRepresentation |
P55707
|
FINISHED |
| Object | romanticized colonial imagery |
—
|
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: romanticized colonial imagery | Statement: [Les Vues de l’Indochine panoramic wallpaper, subjectRepresentation, romanticized colonial imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectRepresentation Context triple: [Les Vues de l’Indochine panoramic wallpaper, subjectRepresentation, romanticized colonial imagery]
-
A.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
B.
representsPeople
Indicates that one entity serves as a representation or stand-in for one or more people.
-
C.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
themeRepresentation
chosen
Indicates that one entity serves as a representation, depiction, or expression of the thematic content associated with another entity.
-
E.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534bb524c8190a4cb8412d0f38af6 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.