Triple
T9987923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fault in Our Stars |
E196815
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Dutton Books |
E190641
|
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: Dutton Books | Statement: [The Fault in Our Stars, publisher, Dutton Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dutton Books Context triple: [The Fault in Our Stars, publisher, Dutton Books]
-
A.
Dutton
Dutton is a small community located within Elgin County in southwestern Ontario, Canada.
-
B.
Dutton
chosen
Dutton is a long-established American book publishing imprint known for releasing a wide range of fiction and nonfiction titles, now operating under Penguin Random House.
-
C.
Mariner Books
Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
-
D.
Algonquin Books
Algonquin Books is an American literary publishing imprint known for championing high-quality fiction and narrative nonfiction, particularly from emerging and distinctive voices.
-
E.
Hayden Books
Hayden Books was a technical and computer science publishing imprint known for producing influential programming and computing manuals in the late 20th century.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79e10408190bcb4e55b6a0df79c |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25810584c81908382cf6edd700530 |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:50 p.m.