Triple
T3603855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulip chair |
E76322
|
entity |
| Predicate | designerStatement |
P26635
|
FINISHED |
| Object | designed to eliminate the visual clutter of legs |
—
|
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: designed to eliminate the visual clutter of legs | Statement: [Tulip chair, designerStatement, designed to eliminate the visual clutter of legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designerStatement Context triple: [Tulip chair, designerStatement, designed to eliminate the visual clutter of legs]
-
A.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
B.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
C.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
D.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
E.
designDescription
chosen
Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e07bc481908d9fce18d36d8e0d |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.