Triple
T18487541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River of Gods |
E451728
|
entity |
| Predicate | publisherImprint |
P2763
|
FINISHED |
| Object | Simon & Schuster UK |
—
|
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: Simon & Schuster UK | Statement: [River of Gods, publisherImprint, Simon & Schuster UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon & Schuster UK Context triple: [River of Gods, publisherImprint, Simon & Schuster UK]
-
A.
Simon & Schuster
chosen
Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
-
B.
HarperCollins
HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
-
C.
Pan Macmillan
Pan Macmillan is a major British publishing house known for producing a wide range of fiction and non-fiction titles by prominent authors.
-
D.
Hodder & Stoughton
Hodder & Stoughton is a major British publishing house known for producing a wide range of fiction, non-fiction, and religious titles.
-
E.
Bloomsbury Publishing
Bloomsbury Publishing is a major independent British publishing house best known internationally for publishing the Harry Potter series and a wide range of literary and academic works.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d7e79c819083bf5c54faaa4810 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.