Triple
T19186162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macmillan Publishers |
E469706
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Daniel Macmillan |
—
|
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: Daniel Macmillan | Statement: [Macmillan Publishers, founder, Daniel Macmillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Macmillan Context triple: [Macmillan Publishers, founder, Daniel Macmillan]
-
A.
Daniel Macmillan
chosen
Daniel Macmillan was a 19th-century British publisher and co-founder of the influential publishing house Macmillan Publishers.
-
B.
William MacAskill
William MacAskill is a Scottish philosopher and Oxford academic best known as a co-founder and leading theorist of the effective altruism movement.
-
C.
David MacMillan
David MacMillan is a Scottish-born chemist and Nobel laureate renowned for pioneering the field of organocatalysis.
-
D.
Colin Macaulay
Colin Macaulay was a British army officer, linguist, and abolitionist active in India and the broader British Empire during the late 18th and early 19th centuries.
-
E.
Alexander Macmillan
Alexander Macmillan was a 19th-century British publisher who co-founded the influential Macmillan publishing house, which became one of the leading literary and educational publishers in the English-speaking world.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.