Triple
T9941548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Kornbluh |
E194093
|
entity |
| Predicate | publisherOfWork |
P1760
|
FINISHED |
| Object | The New Press |
E62982
|
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: The New Press | Statement: [Peter Kornbluh, publisherOfWork, The New Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The New Press Context triple: [Peter Kornbluh, publisherOfWork, The New Press]
-
A.
The New Press
chosen
The New Press is an independent, nonprofit book publisher known for progressive, socially engaged works that promote education, equity, and public debate.
-
B.
New York Review Books
New York Review Books is an independent publishing imprint known for its curated series of classic, overlooked, and international works of literature and nonfiction.
-
C.
Beacon Press
Beacon Press is an independent, progressive nonprofit book publisher based in Boston known for works on social justice, critical thought, and contemporary issues.
-
D.
GNU Press
GNU Press is the publishing arm of the GNU Project that produces and distributes books and materials advocating free software principles and digital freedom.
-
E.
Seal Press
Seal Press is a publishing imprint known for releasing books that focus on women's issues, feminism, and diverse female voices.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d229080d0081908b66b9c4166db252 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:44 p.m.