Triple
T19373249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maron of Smyrna |
E484597
|
entity |
| Predicate | statusOfAuthorship |
P7062
|
FINISHED |
| Object | traditional attribution |
—
|
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: traditional attribution | Statement: [Maron of Smyrna, statusOfAuthorship, traditional attribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfAuthorship Context triple: [Maron of Smyrna, statusOfAuthorship, traditional attribution]
-
A.
authorshipStatus
chosen
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.
authorStatus
Indicates the role or standing an individual holds as an author, such as their level of contribution, recognition, or current authorship state in relation to a work.
-
C.
authorshipInitially
Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
-
D.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
-
E.
writingsStatus
Indicates the status or condition of a set of writings (e.g., whether they are drafted, reviewed, published, or otherwise processed) in relation to an 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61a59f8cc8190b314cba95c25f2a0 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.