Triple
T967713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionysian Mysteries |
E20874
|
entity |
| Predicate | mainDeity |
P7648
|
FINISHED |
| Object | Dionysus |
E15442
|
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: Dionysus | Statement: [Dionysian Mysteries, mainDeity, Dionysus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dionysus Context triple: [Dionysian Mysteries, mainDeity, Dionysus]
-
A.
Dionysus
chosen
Dionysus is the ancient Greek god of wine, ecstasy, theater, and ritual madness, often linked to mystery cults and ecstatic worship.
-
B.
Astakos
Astakos is a coastal town in western Greece known as a regional port and ferry hub on the Ionian Sea.
-
C.
Zeus
Zeus is the king of the Olympian gods in Greek mythology, ruling over the sky and thunder and presiding as the chief deity of the pantheon.
-
D.
Orpheus
Orpheus is a legendary musician, poet, and prophet in ancient Greek mythology, famed for his enchanting music that could charm all living things and even the gods of the underworld.
-
E.
Aristaeus
Aristaeus is a minor Greek god associated with agriculture, beekeeping, and pastoral pursuits, often revered as a culture hero who taught humans various rural arts.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b43549008190a4d65efdc3bda520 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd9705c8190adf1fb72188cc84e |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.