Triple
T14162731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brosnahan |
E350988
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Kate Spade |
E350995
|
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: Kate Spade | Statement: [Brosnahan, hasNotableBearer, Kate Spade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Spade Context triple: [Brosnahan, hasNotableBearer, Kate Spade]
-
A.
Kate Spade
chosen
Kate Spade was an American fashion designer and businesswoman best known for her colorful, playful handbags and for founding the Kate Spade New York brand.
-
B.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
-
C.
Rag & Bone
Rag & Bone is an EP by the American alternative rock band The Walkabouts.
-
D.
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.
-
E.
J.Crew (historically)
J.Crew is an American multi-brand, multi-channel retailer known for its classic, preppy clothing and accessories, which historically operated a flagship store on London's Regent Street.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f3170481909f3981c1e56235d9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.