Triple
T25086189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel Lambert |
E628328
|
entity |
| Predicate | interiorDecorator |
P89588
|
FINISHED |
| Object | Eustache Le Sueur |
—
|
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: Eustache Le Sueur | Statement: [Hôtel Lambert, interiorDecorator, Eustache Le Sueur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorDecorator Context triple: [Hôtel Lambert, interiorDecorator, Eustache Le Sueur]
-
A.
interiorDecoratedBy
chosen
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
B.
partOfInteriorDesign
Indicates that one entity is a component or element within the interior design scheme of another entity.
-
C.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
designConsultant
Indicates that one entity serves as a design consultant, providing expert design advice or services, to another entity.
-
E.
interiorOrganization
Indicates how the internal parts or elements of something are arranged, structured, or organized in relation to one another.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:23 a.m.