Triple
T18533247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choose Me |
E452891
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Thomas & Mercer |
—
|
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: Thomas & Mercer | Statement: [Choose Me, publisher, Thomas & Mercer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas & Mercer Context triple: [Choose Me, publisher, Thomas & Mercer]
-
A.
Thomas & Mercer
chosen
Thomas & Mercer is an Amazon Publishing imprint specializing in mystery, thriller, and suspense novels.
-
B.
Mulholland Books
Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
-
C.
William Morrow
William Morrow was an American publisher who founded the notable New York-based publishing house William Morrow and Company in the early 20th century.
-
D.
Mysterious Press
Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
-
E.
Avon Books
Avon Books is a major American paperback and romance fiction publisher that operates as an imprint of HarperCollins.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.