Triple
T17213736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full Circle |
E417797
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | BBC Books |
E417795
|
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: BBC Books | Statement: [Full Circle, publisher, BBC Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC Books Context triple: [Full Circle, publisher, BBC Books]
-
A.
BBC Books
chosen
BBC Books is a publishing imprint of the BBC that produces books related to its television and radio programming, including tie-ins to popular series and documentaries.
-
B.
Arrow Books
Arrow Books is a British publishing imprint of Cornerstone, part of Penguin Random House UK, known for releasing popular commercial fiction and non-fiction titles.
-
C.
Penguin Books
Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
-
D.
Orbit Books
Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
-
E.
Fox Books
Fox Books is a large, corporate bookstore chain featured in the film "You've Got Mail," representing the big-box competitor to independent bookshops.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc795d08190b90801a4f8b23afe |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016751a5788190a385774d1ff002d0 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.