Triple
T18900721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Ballantine |
E462332
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Bantam 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: Bantam Books | Statement: [Ian Ballantine, employer, Bantam Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantam Books Context triple: [Ian Ballantine, employer, Bantam Books]
-
A.
Bantam Books
chosen
Bantam Books is a major American publishing imprint known for its mass-market paperbacks and genre fiction titles.
-
B.
Bantam Press
Bantam Press is a British publishing imprint of Transworld Publishers, known for releasing popular fiction and non-fiction titles by bestselling authors.
-
C.
Ballantine Books
Ballantine Books is a major American book publisher, best known as a long-standing imprint of Random House that has released a wide range of popular fiction and nonfiction titles.
-
D.
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.
-
E.
Anchor Books
Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5289ba48190a6825c4db2e5e48d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.