Triple
T2814614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arethusa |
E54251
|
entity |
| Predicate | mythologicalMotif |
P2288
|
FINISHED |
| Object | pursuit and metamorphosis |
—
|
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: pursuit and metamorphosis | Statement: [Arethusa, mythologicalMotif, pursuit and metamorphosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythologicalMotif Context triple: [Arethusa, mythologicalMotif, pursuit and metamorphosis]
-
A.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
B.
mythologicalEvent
chosen
Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
-
C.
linkedToMythology
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
D.
mythologicalGeneration
Indicates a generational relationship in mythology, where one mythological being or group descends from or follows another in a lineage or succession.
-
E.
languageOfMyths
Indicates that the subject is the language in which the myths associated with the object are told or recorded.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4d29488190a32461906dd9ea7e |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.