Triple
T18173517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Box of Butterflies |
E435091
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Howard Books |
—
|
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: Howard Books | Statement: [Box of Butterflies, publisher, Howard Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Books Context triple: [Box of Butterflies, publisher, Howard Books]
-
A.
Howard Books
chosen
Howard Books is a Christian and inspirational book publishing imprint of Simon & Schuster.
-
B.
Arrow Books
Arrow Books is a British publishing imprint of Cornerstone, part of Penguin Random House UK, known for releasing popular commercial fiction and non-fiction titles.
-
C.
Fox Books
Fox Books is a large, corporate bookstore chain featured in the film "You've Got Mail," representing the big-box competitor to independent bookshops.
-
D.
Master Books
Master Books is a Christian publishing company known for producing creationist and Bible-based educational materials.
-
E.
HQN Books
HQN Books is a romance-focused publishing imprint of Harlequin Enterprises known for releasing contemporary and bestselling love stories.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df583a8081908c07d3534091c2ae |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.