Triple
T2009634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella McCartney |
E43661
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Stella McCartney (brand) |
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 McCartney (brand) | Statement: [Stella McCartney, founded, Stella McCartney (brand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella McCartney (brand) Context triple: [Stella McCartney, founded, Stella McCartney (brand)]
-
A.
Stella McCartney
chosen
Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing and accessories.
-
B.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
C.
Michael Kors
Michael Kors is an American fashion designer best known for his eponymous luxury brand specializing in ready-to-wear clothing, accessories, and handbags.
-
D.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
E.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
- 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_69ae2707c074819095f932a67f7b5fb9 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:37 p.m.