Triple
T18606132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philipp Plein |
E454752
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | PHILIPP PLEIN brand |
—
|
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: PHILIPP PLEIN brand | Statement: [Philipp Plein, knownFor, PHILIPP PLEIN brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PHILIPP PLEIN brand Context triple: [Philipp Plein, knownFor, PHILIPP PLEIN brand]
-
A.
Philipp Plein
chosen
Philipp Plein is a German fashion designer and founder of the luxury streetwear brand PHILIPP PLEIN, known for its bold, extravagant, and heavily embellished designs.
-
B.
Filips
Filips is the given name of Philip William, Prince of Orange, a 16th-century Dutch nobleman and heir to William the Silent.
-
C.
Vetements
Vetements is an avant-garde fashion label known for its deconstructed streetwear aesthetic and influential role in redefining contemporary luxury.
-
D.
Liu Jo
Liu Jo is an Italian fashion brand known for its contemporary women’s clothing, denim, and accessories.
-
E.
Hilfiger Denim
Hilfiger Denim is a casual clothing line under the Tommy Hilfiger fashion label, focusing on youthful, denim-centered apparel with a classic American style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e547544a248190a3465e22dfb29305 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.