Triple
T17094883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York School of Fine and Applied Art |
E414819
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Proenza Schouler |
E861950
|
NE 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: Proenza Schouler | Statement: [New York School of Fine and Applied Art, hasAlumni, Proenza Schouler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proenza Schouler Context triple: [New York School of Fine and Applied Art, hasAlumni, Proenza Schouler]
-
A.
Proenza Schouler
chosen
Proenza Schouler is a New York–based luxury fashion label known for its modern, refined womenswear and innovative tailoring.
-
B.
Rag & Bone
Rag & Bone is an EP by the American alternative rock band The Walkabouts.
-
C.
Rag & Bone
Rag & Bone is a contemporary American fashion label known for its modern, understated designs that blend British tailoring with downtown New York aesthetics.
-
D.
Isabel Marant
Isabel Marant is a French fashion designer known for her effortlessly chic, bohemian-inspired ready-to-wear collections and influential Parisian label.
-
E.
Philipp Plein
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.