Triple
T1000661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poseidon |
E21594
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object | Medusa |
E70870
|
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: Medusa | Statement: [Poseidon, consort, Medusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medusa Context triple: [Poseidon, consort, Medusa]
-
A.
Medusa
chosen
Medusa is a famous painting by the Italian Baroque artist Caravaggio depicting the severed, snake-haired head of the Gorgon from Greek mythology at the moment of her death.
-
B.
Despoina
Despoina is a mysterious Arcadian goddess in Greek mythology associated with Demeter and often linked to secret fertility and underworld cults.
-
C.
Pasiphaë
Pasiphaë is a figure in Greek mythology, the Cretan queen and wife of King Minos best known for being the mother of the Minotaur.
-
D.
Circe
Circe is a powerful enchantress in Greek mythology, best known for transforming Odysseus’s men into animals and later aiding him on his journey.
-
E.
LernaeanHydra
The Lernaean Hydra is a many-headed serpent-like monster from Greek mythology, famed for its regenerative heads and its defeat as one of Heracles’ Twelve Labors.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c0bda208190b10b238a30466ea6 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.