Triple
T5811263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurel |
E128871
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Aurèle |
E246296
|
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: Aurèle | Statement: [Aurel, relatedName, Aurèle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurèle Context triple: [Aurel, relatedName, Aurèle]
-
A.
Calangianus
Calangianus is a town in the Gallura region of northern Sardinia, Italy, known historically for its cork production and traditional rural culture.
-
B.
Duillier
Duillier is a small Swiss municipality in the canton of Vaud, located near the town of Nyon in western Switzerland.
-
C.
Jovinus
Jovinus was a Roman usurper who briefly claimed the imperial title in Gaul during the early 5th century Western Roman Empire.
-
D.
Laurentius
chosen
Laurentius is a Latin given name historically borne by several early Christian saints and later adapted into various European forms such as Laurence and Lawrence.
-
E.
Eugenius
Eugenius was a late 4th-century usurper of the Western Roman Empire who was defeated and killed by Emperor Theodosius I at the Battle of the Frigidus.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b54c2848190bb85212689d0b511 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09844f0b881908d4165e550f75d47 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.