Triple
T25121369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannatyne MS |
E629274
|
entity |
| Predicate | hasAuthorIncluded |
P107998
|
FINISHED |
| Object | William Dunbar |
—
|
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: William Dunbar | Statement: [Bannatyne MS, hasAuthorIncluded, William Dunbar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorIncluded Context triple: [Bannatyne MS, hasAuthorIncluded, William Dunbar]
-
A.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
B.
hasAuthorInContents
chosen
Indicates that an item’s contents (such as a document or publication) include or reference a particular author.
-
C.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
D.
hasAuthorInCatalog
Indicates that an item in a catalog is associated with a specific author recorded in that catalog.
-
E.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:28 a.m.