Triple
T14159858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epistulae |
E350906
|
entity |
| Predicate | documentsRoleOfAuthorAs |
P86337
|
FINISHED |
| Object | Roman senator |
—
|
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: Roman senator | Statement: [Epistulae, documentsRoleOfAuthorAs, Roman senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsRoleOfAuthorAs Context triple: [Epistulae, documentsRoleOfAuthorAs, Roman senator]
-
A.
declaredRoleOfAuthor
chosen
Indicates that a specific role or capacity has been explicitly stated or assigned to an author in relation to a work or contribution.
-
B.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
C.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
roleInMetadata
Indicates that an entity serves a specific function or position within a metadata record or metadata structure.
-
E.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:58 a.m.