Triple
T28776083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Morland |
E726536
|
entity |
| Predicate | favoriteAuthors |
P91298
|
FINISHED |
| Object | Ann Radcliffe |
—
|
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: Ann Radcliffe | Statement: [Catherine Morland, favoriteAuthors, Ann Radcliffe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteAuthors Context triple: [Catherine Morland, favoriteAuthors, Ann Radcliffe]
-
A.
favoriteAuthor
chosen
Indicates that one entity is the author whom another entity prefers above all others.
-
B.
bookAuthors
Indicates the relationship between a book and the person or people who authored it.
-
C.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
D.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
-
E.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:17 a.m.