Triple
T20403802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oeneus |
E500406
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Agrius |
—
|
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: Agrius | Statement: [Oeneus, sibling, Agrius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agrius Context triple: [Oeneus, sibling, Agrius]
-
A.
Agrius
chosen
Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
-
B.
Acrisius
Acrisius is a king in Greek mythology, best known as the father of Danaë and the ill-fated grandfather of the hero Perseus.
-
C.
Areus
Areus was a Spartan king of the Agiad dynasty who ruled in the early 3rd century BC and is known for his efforts to revive Spartan power in Greece.
-
D.
Melesias
Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
-
E.
Deimas
Deimas is a minor figure in Greek mythology known primarily as a descendant of the Trojan royal line through Dardanus.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.