Triple
T7109427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society Must Be Defended |
E165670
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Picador |
E173854
|
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: Picador | Statement: [Society Must Be Defended, publisher, Picador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picador Context triple: [Society Must Be Defended, publisher, Picador]
-
A.
Picador
chosen
Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
-
B.
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.
-
C.
Bodley Head
Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
-
D.
Forge Books
Forge Books is an American publishing imprint known for releasing a wide range of commercial fiction, including thrillers, mysteries, and general-interest novels, under the broader Tor/Forge publishing group.
-
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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bcf3e08190bd8c6cf896c416c4 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb8d4988190945516cee5d6d53b |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.