Triple
T18207190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Beavis |
E435935
|
entity |
| Predicate | relatedWorkAuthorNationality |
P76869
|
FINISHED |
| Object | British |
—
|
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 | Statement: [Anthony Beavis, relatedWorkAuthorNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedWorkAuthorNationality Context triple: [Anthony Beavis, relatedWorkAuthorNationality, British]
-
A.
appearsInWorkByAuthorNationality
chosen
Indicates that an entity appears in a work created by an author of a specified nationality.
-
B.
sourceWorkNationality
Indicates that a work or source is associated with a particular nationality or country of origin.
-
C.
coAuthorNationality
Indicates that two or more co-authors of a work share the same nationality or have nationalities being related in the context of their co-authorship.
-
D.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
E.
worksWithArtistNationality
Indicates that one entity collaborates or is professionally associated in their work with artists of a specified nationality.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2243de081908a5bcc7e2072eae7 |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.