Triple
T19970300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iólē |
E480052
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Toxeus |
—
|
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: Toxeus | Statement: [Iólē, hasSibling, Toxeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toxeus Context triple: [Iólē, hasSibling, Toxeus]
-
A.
Toxeus
chosen
Toxeus is a figure in Greek mythology known primarily as one of the sons of Althaea and Oeneus, often mentioned in the context of the Calydonian royal family and its associated legends.
-
B.
Harsomtus
Harsomtus is an Egyptian serpent or falcon-headed god associated with the sun’s daily rebirth and often linked to child deities like Ihy in local cults.
-
C.
Blepyrus
Blepyrus is a comic character in Aristophanes’ play *Ecclesiazusae*, typically portrayed as a bemused Athenian husband caught up in the play’s satirical treatment of gender and political reform.
-
D.
Agelastes
Agelastes is a small genus of African guineafowl known for its relatively plain, dark plumage and forest-dwelling habits.
-
E.
Terricciola
Terricciola is a small Tuscan town in central Italy known for its rolling vineyard-covered hills, wine production, and historic rural charm.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc89b508190879d29bef546aac8 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.