Triple
T38650507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cæsarini |
E939728
|
entity |
| Predicate | isCharacterInWorkByAuthorNationality |
P76869
|
FINISHED |
| Object | British author |
—
|
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 author | Statement: [Cæsarini, isCharacterInWorkByAuthorNationality, British author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCharacterInWorkByAuthorNationality Context triple: [Cæsarini, isCharacterInWorkByAuthorNationality, British author]
-
A.
appearsInWorkByAuthorNationality
chosen
Indicates that an entity appears in a work created by an author of a specified nationality.
-
B.
isCharacterInWork
Indicates that a particular character appears in or is part of a specified creative work (such as a book, film, or game).
-
C.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
D.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
E.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:33 p.m.