Triple
T6802579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Gregorianus |
E156219
|
entity |
| Predicate | authorshipType |
P56172
|
FINISHED |
| Object | private compilation later given public authority |
—
|
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: private compilation later given public authority | Statement: [Codex Gregorianus, authorshipType, private compilation later given public authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorshipType Context triple: [Codex Gregorianus, authorshipType, private compilation later given public authority]
-
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.
authorshipInitially
Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
-
C.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
-
D.
hasAuthorType
chosen
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e714d4819084c8109c4de7de72 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:16 p.m.