Triple
T3313879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Song of Ice and Fire |
E69635
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Voyager Books |
E344974
|
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: Voyager Books | Statement: [A Song of Ice and Fire, publisher, Voyager Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voyager Books Context triple: [A Song of Ice and Fire, publisher, Voyager Books]
-
A.
Voyager Books
chosen
Voyager Books is a science fiction and fantasy imprint of HarperCollins known for publishing major genre authors and series.
-
B.
Mariner Books
Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
-
C.
Anchor Books
Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
-
D.
Signet Books
Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
-
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 (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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ef548481908b3aabc7052c70d8 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a759a3c81908105eae7fd856133 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.