Triple
T896986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleusinian Mysteries |
E19366
|
entity |
| Predicate | honoredDeity |
P5606
|
FINISHED |
| Object | Persephone |
E23576
|
NE 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: Persephone | Statement: [Eleusinian Mysteries, honoredDeity, Persephone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persephone Context triple: [Eleusinian Mysteries, honoredDeity, Persephone]
-
A.
Persephone
chosen
Persephone is the Greek goddess of spring and queen of the underworld, known for her abduction by Hades and her role in the myth explaining the seasons.
-
B.
Demeter
Demeter is the ancient Greek goddess of agriculture, grain, and the fertility of the earth, central to the Eleusinian Mysteries and the myth of Persephone.
-
C.
Nyx
Nyx is the primordial Greek goddess of the night, a powerful and ancient deity from whom many other gods and personified forces descend.
-
D.
Daphne
Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
-
E.
Daphne
Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b9339081909af5ab231be39bb0 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16f9d07c819097b9cf95d2b708f7 |
completed | March 7, 2026, 12:15 p.m. |
Created at: March 1, 2026, 7:39 p.m.