Triple
T6796249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guards! Guards! |
E156059
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Gollancz |
E276533
|
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: Gollancz | Statement: [Guards! Guards!, publisher, Gollancz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gollancz Context triple: [Guards! Guards!, publisher, Gollancz]
-
A.
Gollancz
chosen
Gollancz is a renowned British publishing imprint best known for its influential catalog of science fiction, fantasy, and horror literature.
-
B.
Orbit Books
Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
-
C.
Harper Voyager
Harper Voyager is a publishing imprint specializing in science fiction and fantasy titles, operating under the global publisher HarperCollins.
-
D.
Hyperion Books
Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
-
E.
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.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c872f0819092f21e8fdbecc667 |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f94b7388190806939f8e8982d2e |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:15 p.m.