Triple
T5363003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeëtes |
E103064
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Pasiphaë |
E103065
|
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: Pasiphaë | Statement: [Aeëtes, sibling, Pasiphaë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasiphaë Context triple: [Aeëtes, sibling, Pasiphaë]
-
A.
Pasiphaë
chosen
Pasiphaë is a figure in Greek mythology, the Cretan queen and wife of King Minos best known for being the mother of the Minotaur.
-
B.
Hypermnestra
Hypermnestra is a figure in Greek mythology, best known as one of the Danaids who spared her husband’s life and was consequently honored for her mercy and piety.
-
C.
Danaë
Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
-
D.
Medusa
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.
-
E.
Aglaea
Aglaea is a Greek goddess associated with beauty and splendor, one of the three Graces (Charites) in classical mythology.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21f2bc708190b596c5402fa07e75 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.