Triple
T18388903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Dirty War |
E449668
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | The Harvill Press |
—
|
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: The Harvill Press | Statement: [A Dirty War, publisher, The Harvill Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Harvill Press Context triple: [A Dirty War, publisher, The Harvill Press]
-
A.
The Harvill Press
chosen
The Harvill Press is a British publishing house known for its high-quality literary fiction and translated works from around the world.
-
B.
Andersen Press
Andersen Press is a British independent publishing house best known for its award-winning children's and young adult books.
-
C.
Bloomsbury Publishing
Bloomsbury Publishing is a major independent British publishing house best known internationally for publishing the Harry Potter series and a wide range of literary and academic works.
-
D.
Harper Perennial
Harper Perennial is an imprint of HarperCollins known for publishing contemporary literary fiction, nonfiction, and reissues of classic works in affordable paperback editions.
-
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 (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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51840884c81908e84e9206b4739ee |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.