Triple
T20232575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Going to Sea in a Sieve |
E495563
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Weidenfeld & Nicolson |
—
|
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: Weidenfeld & Nicolson | Statement: [Going to Sea in a Sieve, publisher, Weidenfeld & Nicolson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weidenfeld & Nicolson Context triple: [Going to Sea in a Sieve, publisher, Weidenfeld & Nicolson]
-
A.
Weidenfeld & Nicolson
chosen
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
B.
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.
-
C.
Pan Macmillan
Pan Macmillan is a major British publishing house known for producing a wide range of fiction and non-fiction titles by prominent authors.
-
D.
Faber and Faber
Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
-
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 (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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67166d4d081908c4b8eeb66e7e090 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.