Triple
T23150284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Broken Kingdoms |
E578303
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Orbit Books |
—
|
NE NERFINISHED |
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: Orbit Books | Statement: [The Broken Kingdoms, publisher, Orbit Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbit Books Context triple: [The Broken Kingdoms, publisher, Orbit Books]
-
A.
Orbit Books
chosen
Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
-
B.
Gollancz
Gollancz is a renowned British publishing imprint best known for its influential catalog of science fiction, fantasy, and horror literature.
-
C.
Orion Publishing Group
Orion Publishing Group is a major British book publisher known for its wide-ranging fiction and non-fiction imprints and as part of the Hachette UK group.
-
D.
Hyperion Books
Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed1a258819091ce86dbd1c51e46 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.