Triple
T17065473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wettest County in the World |
E414074
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Scribner |
E1116011
|
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: Scribner | Statement: [The Wettest County in the World, publisher, Scribner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scribner Context triple: [The Wettest County in the World, publisher, Scribner]
-
A.
Scribner Books
chosen
Scribner Books is a prominent American publishing imprint, historically known for releasing works by major literary figures such as F. Scott Fitzgerald and Ernest Hemingway.
-
B.
Scribner Library
Scribner Library is the main academic library at Skidmore College, providing students and faculty with research resources, study spaces, and scholarly support services.
-
C.
G. P. Putnam’s Sons
G. P. Putnam’s Sons is a long-established American publishing house known for producing a wide range of fiction and nonfiction titles.
-
D.
Random House
Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
-
E.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db806de48190a9ce68b40fc77a74 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.