Triple
T26056419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Haroué (collaboration and interior works) |
E657128
|
entity |
| Predicate | hasDesignerOfInteriors |
P89588
|
FINISHED |
| Object | Germain Boffrand |
—
|
NE NERFINISHED |
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: Germain Boffrand | Statement: [Château de Haroué (collaboration and interior works), hasDesignerOfInteriors, Germain Boffrand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignerOfInteriors Context triple: [Château de Haroué (collaboration and interior works), hasDesignerOfInteriors, Germain Boffrand]
-
A.
hasNotableInteriorDesigner
Indicates that an entity has a notable interior designer responsible for designing or significantly influencing its interior spaces.
-
B.
interiorDecoratedBy
chosen
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
C.
hasDesignStudio
Indicates that an entity owns, operates, or is associated with a design studio.
-
D.
decorationDesigner
Indicates that one entity is the person or agent responsible for designing the decoration of another entity.
-
E.
hasStaircaseDesigner
Indicates that an entity has another entity that is responsible for designing its staircase.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 26, 2026, 7:10 p.m.