Triple
T2241823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor General’s Award for Non-Fiction |
E49413
|
entity |
| Predicate | eligibleAuthors |
P37318
|
FINISHED |
| Object | Canadian authors |
—
|
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: Canadian authors | Statement: [Governor General’s Award for Non-Fiction, eligibleAuthors, Canadian authors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleAuthors Context triple: [Governor General’s Award for Non-Fiction, eligibleAuthors, Canadian authors]
-
A.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
B.
importantAuthor
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
-
E.
basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
- F. None of above. chosen
Provenance (4 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0be7fb4819081a5f9c46b616bdb |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:47 p.m.