Triple
T18994325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andreas Miaoulis |
E464766
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Miaoulis |
—
|
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: Miaoulis | Statement: [Andreas Miaoulis, familyName, Miaoulis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miaoulis Context triple: [Andreas Miaoulis, familyName, Miaoulis]
-
A.
Miaoulis
chosen
Miaoulis is a Greek surname most famously associated with Admiral Andreas Miaoulis, a key naval leader in the Greek War of Independence.
-
B.
Amasra
Amasra is a historic coastal town and popular tourist destination on Turkey’s Black Sea coast, known for its scenic harbor, beaches, and ancient fortifications.
-
C.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
D.
Vacalis
Vacalis is an old historical name for the River Waal, a major distributary of the Rhine in the Netherlands.
-
E.
La Brigue
La Brigue is a small historic village in the Ligurian Alps of southeastern France, known for its medieval architecture and scenic mountain surroundings.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67fc90081908f51668620fdc60a |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.