Triple
T22039841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Ronson |
E544308
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Charlotte Ronson |
—
|
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: Charlotte Ronson | Statement: [Charlotte Ronson, brand, Charlotte Ronson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Ronson Context triple: [Charlotte Ronson, brand, Charlotte Ronson]
-
A.
Charlotte Ronson
chosen
Charlotte Ronson is a British-born fashion designer known for her contemporary, downtown-cool womenswear label and presence in the New York fashion scene.
-
B.
Betsey Johnson
Betsey Johnson is an American fashion designer known for her whimsical, colorful, and exuberant clothing designs and her playful, cartwheeling runway finales.
-
C.
Isabella Blow
Isabella Blow was a British magazine editor and influential fashion stylist best known for discovering and championing designers like Alexander McQueen and milliner Philip Treacy.
-
D.
Cynthia Rowley
Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
-
E.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.