Triple
T23337117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathalie Eckert |
E591625
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Eckert |
—
|
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: Eckert | Statement: [Nathalie Eckert, hasSurname, Eckert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eckert Context triple: [Nathalie Eckert, hasSurname, Eckert]
-
A.
Eckert
chosen
Eckert is a German-language surname borne by various notable individuals across fields such as music, science, and politics.
-
B.
Everhart
Everhart is a surname of English and German origin that is borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Vinton
Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
-
D.
Vinton
Vinton is a small village in western Texas, located near the city of El Paso and the U.S.–Mexico border.
-
E.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.