Triple
T20384265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicked (novel) |
E497919
|
entity |
| Predicate | publisherImprint |
P2763
|
FINISHED |
| Object | ReganBooks |
—
|
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: ReganBooks | Statement: [Wicked (novel), publisherImprint, ReganBooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReganBooks Context triple: [Wicked (novel), publisherImprint, ReganBooks]
-
A.
ReganBooks
chosen
ReganBooks was a controversial imprint of HarperCollins known for publishing high-profile and politically charged non-fiction titles.
-
B.
Red Books
The "Red Books" are a series of illustrated landscape design proposals created by English landscape gardener Humphry Repton, renowned for their detailed before-and-after views and influential role in late 18th- and early 19th-century garden design.
-
C.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
D.
Target Books
Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
-
E.
The Book Fund
The Book Fund was a charitable initiative established by Susannah Spurgeon to provide theological books and resources to impoverished pastors and ministers.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.