Triple
T15662609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Design Museum |
E376602
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Stephen Bayley |
E376602
|
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: Stephen Bayley | Statement: [Design Museum, coFounder, Stephen Bayley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Bayley Context triple: [Design Museum, coFounder, Stephen Bayley]
-
A.
Stephen Bayley
chosen
Stephen Bayley is a British design critic, writer, and curator renowned for his influential role in promoting modern design and for co-founding London’s Design Museum.
-
B.
Mark Bazeley
Mark Bazeley is a British actor known for his work in film, television, and theatre, including roles in political dramas and high-profile UK series.
-
C.
Richard Ingrams
Richard Ingrams is a British journalist and satirist best known as a co-founder and long-time editor of the satirical magazine Private Eye.
-
D.
Benedict Nicolson
Benedict Nicolson was a British art historian and editor known for his scholarship on 17th-century painting and his work on the Burlington Magazine.
-
E.
Noel Barber
Noel Barber was a British journalist and novelist known for his adventurous reporting and bestselling historical romances, often drawing on his experiences during World War II.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0e2668819092e52712cddd0721 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed6f50c81909d87ced263064f0d |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.