Triple
T25607714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegimius (fragmentary poem) |
E641957
|
entity |
| Predicate | associatedMyths |
P9595
|
FINISHED |
| Object | myths of Heracles |
—
|
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: myths of Heracles | Statement: [Aegimius (fragmentary poem), associatedMyths, myths of Heracles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMyths Context triple: [Aegimius (fragmentary poem), associatedMyths, myths of Heracles]
-
A.
linkedToMythology
chosen
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
B.
mythologicalContent
Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
-
C.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
D.
subsequentMythology
Indicates that one mythology develops later than, or is derived from, another mythology in time or tradition.
-
E.
sharesMythosWith
Indicates that two entities are associated with, or originate from, the same mythological tradition, narrative system, or shared set of myths.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 21, 2026, 4:39 p.m.