Triple
T21992712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Year in the Life of Downton Abbey |
E543125
|
entity |
| Predicate | authorRelationship |
P88403
|
FINISHED |
| Object | written by the niece of Julian Fellowes |
—
|
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: written by the niece of Julian Fellowes | Statement: [A Year in the Life of Downton Abbey, authorRelationship, written by the niece of Julian Fellowes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorRelationship Context triple: [A Year in the Life of Downton Abbey, authorRelationship, written by the niece of Julian Fellowes]
-
A.
authorRelationshipToMainSubject
chosen
Indicates the nature of the connection or role the author has in relation to the main subject.
-
B.
editorRelationshipToAuthors
Indicates the editorial role or connection an editor has in relation to the authors of a work.
-
C.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
D.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
-
E.
authorOfWorkAppearingIn
Indicates that one entity is the creator or writer of a work that appears within another work or publication.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:15 p.m.