Triple
T19854954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esprit |
E477105
|
entity |
| Predicate | coreDesignStyle |
P137584
|
FINISHED |
| Object | minimalist |
—
|
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: minimalist | Statement: [Esprit, coreDesignStyle, minimalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreDesignStyle Context triple: [Esprit, coreDesignStyle, minimalist]
-
A.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
D.
developmentStyle
Indicates the manner or approach in which something is developed, such as the methodology, process, or style guiding its creation or evolution.
-
E.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
- F. None of above. chosen
Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.