Triple
T21883939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acamas |
E540357
|
entity |
| Predicate | rescued |
P7320
|
FINISHED |
| Object | Aethra |
—
|
NE NERFINISHED |
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: Aethra | Statement: [Acamas, rescued, Aethra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aethra Context triple: [Acamas, rescued, Aethra]
-
A.
Aethra
chosen
Aethra is a figure in Greek mythology best known as the mother of the hero Theseus and a princess of Troezen.
-
B.
Aethra
Aethra is a figure in Greek mythology, known as a daughter of the Titan Oceanus and often associated with the origins of certain heroic bloodlines.
-
C.
Queen Arete
Queen Arete is a wise and influential Phaeacian queen in Greek mythology, best known from Homer's Odyssey for her role in aiding the hero Odysseus.
-
D.
Doris of Thessaly
Doris of Thessaly was an ancient Greek region in central Greece associated with several small Dorian cities and often linked politically and culturally with neighboring Thessalian territories.
-
E.
Queen Gorgo
Queen Gorgo is the Spartan queen and wife of King Leonidas, depicted as a strong, politically astute leader in the film "300."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e9d3508190aadcfcdac0376387 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:05 p.m.