Triple
T2009608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella McCartney |
E43661
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Stella Nina McCartney |
E43661
|
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: Stella Nina McCartney | Statement: [Stella McCartney, fullName, Stella Nina McCartney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Nina McCartney Context triple: [Stella McCartney, fullName, Stella Nina McCartney]
-
A.
Stella McCartney
chosen
Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing and accessories.
-
B.
Beatrice McCartney
Beatrice McCartney is the daughter of former Beatle and legendary musician Paul McCartney and his ex-wife Heather Mills, known primarily for her connection to her famous father.
-
C.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
D.
Miuccia Prada
Miuccia Prada is an Italian fashion designer and businesswoman who transformed her family’s leather goods company into the globally influential luxury fashion house Prada.
-
E.
Cynthia Rowley
Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe3480c8190add171121653fc8a |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.