Triple
T10638705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasyl |
E250659
|
entity |
| Predicate | etymologicalRoot |
P453
|
FINISHED |
| Object | Basileios |
E441925
|
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: Basileios | Statement: [Vasyl, etymologicalRoot, Basileios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basileios Context triple: [Vasyl, etymologicalRoot, Basileios]
-
A.
Dorotheos
Dorotheos is a Greek given name of religious origin, meaning "gift of God."
-
B.
Basile
chosen
Basile is a given name and surname, commonly used in French and Italian contexts, derived from the name Basil.
-
C.
Theokoleon
The Theokoleon is an ancient building complex at Olympia that served as the residence and headquarters of the priests of Zeus.
-
D.
Nikephoros Basilakes
Nikephoros Basilakes was a 12th-century Byzantine scholar and writer known for his sophisticated rhetorical works and contributions to Byzantine literature.
-
E.
Basílio
Basílio is a Portuguese given name, equivalent to Basil, commonly used in Lusophone countries.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfaf12188190a5774d4d64674653 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bcd8c0c8190a0fad6a85b5604bb |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:04 p.m.