Triple
T16238107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children's Laureate |
E394167
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Waterstones |
E723222
|
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: Waterstones | Statement: [Children's Laureate, sponsor, Waterstones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterstones Context triple: [Children's Laureate, sponsor, Waterstones]
-
A.
Waterstones
chosen
Waterstones is a major British bookshop chain known for its wide selection of books, stationery, and literary events across the UK and beyond.
-
B.
Dymock
Dymock is a village in Gloucestershire, England, historically noted for its association with the early 20th-century Dymock Poets literary group.
-
C.
Bodley Head
Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
-
D.
Blackwell's Bookshop
Blackwell's Bookshop is a historic and renowned academic and general bookshop in Oxford, England, famous for its extensive collections and deep ties to the university community.
-
E.
The Bookseller
The Bookseller is a long-established UK publishing trade magazine and media brand that covers and supports the book industry, including organizing major literary awards.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455c7a3c81909e3b42edf03be43e |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edaf76c8190acc01f58845e570a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.