Triple
T10410858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Martin's Press |
E245383
|
entity |
| Predicate | imprint |
P2763
|
FINISHED |
| Object | Thomas Dunne Books |
E245383
|
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: Thomas Dunne Books | Statement: [St. Martin's Press, imprint, Thomas Dunne Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Dunne Books Context triple: [St. Martin's Press, imprint, Thomas Dunne Books]
-
A.
William Morrow and Company
William Morrow and Company is a long-established American publishing house known for releasing popular fiction and nonfiction titles.
-
B.
Mulholland Books
Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
-
C.
Riverhead Books
Riverhead Books is a prominent American publishing imprint known for its innovative and literary fiction and nonfiction titles by acclaimed contemporary authors.
-
D.
Simon & Schuster
Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
-
E.
St. Martin's Press
chosen
St. Martin's Press is a major American book publisher known for its wide range of commercial fiction and nonfiction 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fb98748190a3a6c161edd8f400 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbfae96c8190ac496e9a1158afe4 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:09 p.m.