Triple
T5622550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adonis |
E147641
|
entity |
| Predicate | mythTheme |
P2288
|
FINISHED |
| Object | conflict between goddesses over a mortal lover |
—
|
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: conflict between goddesses over a mortal lover | Statement: [Adonis, mythTheme, conflict between goddesses over a mortal lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythTheme Context triple: [Adonis, mythTheme, conflict between goddesses over a mortal lover]
-
A.
mythVariant
Indicates that one mythological narrative is a version, retelling, or alternative form of another myth.
-
B.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
-
C.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
D.
mythologicalEvent
chosen
Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
-
E.
usesMythOf
Indicates that one entity employs or invokes a myth or mythical narrative about another entity as part of its actions, explanations, or representations.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.