Triple
T3906562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Morton |
E87215
|
entity |
| Predicate | hasPublisher |
P1760
|
FINISHED |
| Object | Allen & Unwin |
E16168
|
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: Allen & Unwin | Statement: [Kate Morton, hasPublisher, Allen & Unwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen & Unwin Context triple: [Kate Morton, hasPublisher, Allen & Unwin]
-
A.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
B.
Macmillan Publishers
Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
-
C.
Jonathan Cape
Jonathan Cape is a renowned British publishing house best known for issuing Ian Fleming’s James Bond novels and other major 20th-century literary works.
-
D.
George Allen & Unwin
chosen
George Allen & Unwin was a prominent British publishing house known for releasing influential works in philosophy, literature, and academic scholarship, including major titles by authors such as Bertrand Russell and J.R.R. Tolkien.
-
E.
HarperCollins
HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed1290e48190aaf2d8b2a7be707a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cace2b88190981e3516123a417d |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.