Triple
T35134201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starck Network |
E1014523
|
entity |
| Predicate | usesEponymousDesignLanguageOf |
P90386
|
FINISHED |
| Object | Philippe Starck |
—
|
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: Philippe Starck | Statement: [Starck Network, usesEponymousDesignLanguageOf, Philippe Starck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEponymousDesignLanguageOf Context triple: [Starck Network, usesEponymousDesignLanguageOf, Philippe Starck]
-
A.
hasDesignLanguage
chosen
Indicates that one entity employs, follows, or is characterized by the design language specified by another entity.
-
B.
introducedDesignLanguage
Indicates that an entity initiated or brought a particular design language into use or public awareness.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
designedIn
Indicates that something was created, planned, or conceived during a particular time period or at a specific location.
-
E.
designedAsPartOfSystemBy
Indicates that an entity was intentionally created as a component or module within a larger system by a specific designer or designing agent.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c6d6b9881909ccd12d8e2e6639e |
completed | May 3, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.