Triple
T36144316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Fortunate Man |
E1045401
|
entity |
| Predicate | workBasedOnNationalityOfAuthor |
P91127
|
FINISHED |
| Object | Danish |
—
|
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: Danish | Statement: [A Fortunate Man, workBasedOnNationalityOfAuthor, Danish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workBasedOnNationalityOfAuthor Context triple: [A Fortunate Man, workBasedOnNationalityOfAuthor, Danish]
-
A.
appearsInWorkByAuthorNationality
Indicates that an entity appears in a work created by an author of a specified nationality.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
sourceWorkNationality
chosen
Indicates that a work or source is associated with a particular nationality or country of origin.
-
D.
basedOnWorkAuthorAssociatedWith
Indicates that one entity is derived from or related to a work whose author is associated with another specified entity.
-
E.
workSubjectNationality
Indicates that the subject of a work has 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.