Triple
T14236234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oswald Millbank |
E352883
|
entity |
| Predicate | authorOccupationOfCreator |
P13413
|
FINISHED |
| Object | British statesman |
—
|
LITERAL 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: British statesman | Statement: [Oswald Millbank, authorOccupationOfCreator, British statesman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOccupationOfCreator Context triple: [Oswald Millbank, authorOccupationOfCreator, British statesman]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
D.
publisherProfessionOfAuthor
Indicates that the profession specified is the occupation or professional role of the author associated with a given publisher.
-
E.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
- F. None of above.
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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.