Triple
T12933635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germano |
E309446
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object | Germain |
E63616
|
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: Germain | Statement: [Germano, cognateWith, Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germain Context triple: [Germano, cognateWith, Germain]
-
A.
Germain
chosen
Germain is a given name associated here with the French artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
-
B.
Germain of Paris
Germain of Paris was a 6th-century Bishop of Paris venerated as a saint for his piety, charity, and influence on the early Frankish church.
-
C.
Oudinot
Oudinot was a prominent French marshal of the Napoleonic Wars, noted for his bravery, multiple wounds in battle, and command of several major campaigns.
-
D.
Eugène
Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
-
E.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc6517481908637781da240b51f |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0eaa3688190b399aa212e16ca08 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:42 p.m.