Triple
T13017192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achaeus |
E322582
|
entity |
| Predicate | belongsToMythologicalCategory |
P95710
|
FINISHED |
| Object | founder-hero |
—
|
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: founder-hero | Statement: [Achaeus, belongsToMythologicalCategory, founder-hero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMythologicalCategory Context triple: [Achaeus, belongsToMythologicalCategory, founder-hero]
-
A.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
B.
linkedToMythology
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
C.
isMythologicalFigureType
chosen
Indicates that one entity is classified as a specific type or category of mythological figure in relation to another entity.
-
D.
hasMythologicalFamily
Indicates that an entity is related to another entity as part of its mythological family or lineage (e.g., gods, heroes, or legendary ancestors).
-
E.
hasMythologicalNamesake
Indicates that one entity is named after, or shares its name with, a figure or element from mythology.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.