Triple
T13333111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Methods of Ethics |
E317620
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Macmillan |
E48100
|
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: Macmillan | Statement: [The Methods of Ethics, publisher, Macmillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macmillan Context triple: [The Methods of Ethics, publisher, Macmillan]
-
A.
Macmillan Publishers
chosen
Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
-
B.
The Macmillan Company
The Macmillan Company was a major American publishing house known for producing influential works in literature, education, and academic scholarship from the late 19th through the 20th century.
-
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.
HarperCollins
HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
-
E.
Weidenfeld & Nicolson
Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f36e4cc819093007404ceb5da31 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:30 p.m.