Triple
T11827645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New York Review of Books |
E281297
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Jason Epstein |
E594195
|
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: Jason Epstein | Statement: [The New York Review of Books, foundedBy, Jason Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Epstein Context triple: [The New York Review of Books, foundedBy, Jason Epstein]
-
A.
Jason Epstein
chosen
Jason Epstein was an influential American book editor and publisher known for co-founding The New York Review of Books and pioneering the trade paperback format.
-
B.
Philip Eisner
Philip Eisner is an American screenwriter best known for writing the science fiction horror film "Event Horizon."
-
C.
Sammy Epstein
Sammy Epstein is an individual whose specific public background or notable achievements are not clearly established from the given information.
-
D.
Ben Epstein
Ben Epstein is an ambitious young New Yorker and aspiring fashion entrepreneur who serves as one of the central protagonists in the HBO series "How to Make It in America."
-
E.
Bennett Cerf
Bennett Cerf was an American publisher, humorist, and co-founder of the publishing house Random House, known for popularizing many major 20th-century authors.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1671989f88190b8c1fb520435a25e |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.