Triple
T16215791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aventine Triad |
E393588
|
entity |
| Predicate | LiberRole |
P122203
|
FINISHED |
| Object | god of wine, freedom, and male fertility |
—
|
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: god of wine, freedom, and male fertility | Statement: [Aventine Triad, LiberRole, god of wine, freedom, and male fertility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LiberRole Context triple: [Aventine Triad, LiberRole, god of wine, freedom, and male fertility]
-
A.
liberationRole
Indicates that an entity plays a specific role or function in the act or process of liberating or freeing another entity.
-
B.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
C.
LaususRole
Indicates that an entity holds the narrative or functional role associated with Lausus in a given context.
-
D.
libraryRole
Indicates the specific function, responsibility, or position an entity holds within the context of a library.
-
E.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
- F. None of above. chosen
Provenance (4 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.