Triple
T16378837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lake House |
E397746
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Pan Macmillan |
E881381
|
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: Pan Macmillan | Statement: [The Lake House, publisher, Pan Macmillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pan Macmillan Context triple: [The Lake House, publisher, Pan Macmillan]
-
A.
Pan Macmillan
chosen
Pan Macmillan is a major British publishing house known for producing a wide range of fiction and non-fiction titles by prominent authors.
-
B.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
C.
Macmillan Publishers
Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
-
D.
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.
-
E.
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.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b276be5c8190a42ce541168ab7d0 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:08 a.m.