Triple
T37020617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magna Moralia |
E916205
|
entity |
| Predicate | authorshipAttribution |
P13198
|
FINISHED |
| Object | Aristotelian school |
—
|
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: Aristotelian school | Statement: [Magna Moralia, authorshipAttribution, Aristotelian school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorshipAttribution Context triple: [Magna Moralia, authorshipAttribution, Aristotelian school]
-
A.
anonymousAuthorshipRevealedBy
Indicates that the previously unknown author of a work or content becomes known through a specified source or revealing event.
-
B.
coAuthorAttributionTradition
Indicates that there is a recognized tradition or convention of attributing co-authorship between the related entities.
-
C.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
-
D.
authorAccordingToText
Indicates that a specified entity is identified as the author of a work according to the information given in a particular text source.
-
E.
probableAuthorOf
chosen
Indicates that an entity is likely, but not certainly, the author or creator of 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:14 p.m.