Triple
T13618955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rainbow Stories |
E325397
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Viking Penguin |
E36370
|
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: Viking Penguin | Statement: [The Rainbow Stories, publisher, Viking Penguin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viking Penguin Context triple: [The Rainbow Stories, publisher, Viking Penguin]
-
A.
Puffin Books
Puffin Books is a prominent children’s book imprint known for publishing classic and contemporary literature for young readers worldwide.
-
B.
Andersen Press
Andersen Press is a British independent publishing house best known for its award-winning children's and young adult books.
-
C.
Penguin Books
chosen
Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
-
D.
Egmont Books
Egmont Books is a British children's publishing company best known for producing popular series such as The Railway Series featuring Thomas the Tank Engine.
-
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ae77e0819081e3b14642460dc6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa0b81c819094e2fa209ef9857c |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.