Triple
T19255995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Απόλλων |
E481517
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Ασκληπιός |
—
|
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: Ασκληπιός | Statement: [Απόλλων, offspring, Ασκληπιός]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ασκληπιός Context triple: [Απόλλων, offspring, Ασκληπιός]
-
A.
Asclepius
chosen
Asclepius is the ancient Greek god of medicine and healing, revered for his ability to cure illness and restore health.
-
B.
Asklepion of Kos
The Asklepion of Kos is an ancient Greek healing sanctuary dedicated to the god Asclepius, renowned as a major medical center associated with Hippocrates and classical medicine.
-
C.
Apollo Iatros
Apollo Iatros is a healing aspect of the Greek god Apollo, revered specifically as a divine physician and protector against disease.
-
D.
Calchas
Calchas is a prophetic Trojan priest who defects to the Greeks in medieval and classical tales of the Trojan War, including Chaucer’s "Troilus and Criseyde."
-
E.
Γαληνός
Γαληνός is the ancient Greek physician and philosopher Galen, a highly influential figure in medicine whose writings shaped medical theory and practice for many centuries.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3572c08190a55f1c71cdb18b42 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.