Triple
T12156417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shu |
E289584
|
entity |
| Predicate | mythologicalAct |
P2288
|
FINISHED |
| Object | separating Nut from Geb |
—
|
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: separating Nut from Geb | Statement: [Shu, mythologicalAct, separating Nut from Geb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythologicalAct Context triple: [Shu, mythologicalAct, separating Nut from Geb]
-
A.
mythologicalEvent
chosen
Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
-
B.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
C.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
D.
mythologicalFigureFeatured
Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
-
E.
depictsMythologicalEvent
Indicates that one entity visually represents or portrays a mythological event involving gods, heroes, or legendary occurrences.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.