Triple
T8164230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DK |
E190649
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Dorling Kindersley |
E190648
|
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: Dorling Kindersley | Statement: [DK, fullName, Dorling Kindersley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorling Kindersley Context triple: [DK, fullName, Dorling Kindersley]
-
A.
Dorling Kindersley
chosen
Dorling Kindersley is a British publishing company best known for its highly visual, illustrated reference books and educational titles for children and adults.
-
B.
Penguin Books
Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
-
C.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
-
D.
Macmillan Publishers
Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
-
E.
Harcourt Brace & World
Harcourt Brace & World was a major American publishing company known for its influential catalog of academic, literary, and educational works in the mid-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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf3ed24c8190b4874e63fcaa50a9 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.