Triple
T21323278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Weiss |
E525678
|
entity |
| Predicate | hasSurnameMeaning |
P76042
|
FINISHED |
| Object | Weiss means "white" in German |
—
|
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: Weiss means "white" in German | Statement: [Friedrich Weiss, hasSurnameMeaning, Weiss means "white" in German]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiss means "white" in German Context triple: [Friedrich Weiss, hasSurnameMeaning, Weiss means "white" in German]
-
A.
Weiss is of German origin
Weiss is a German-origin surname commonly associated with people of German-speaking heritage.
-
B.
Weißer Main (German)
Weißer Main is the German name for the White Main, one of the two headstreams that form the Main River in Germany.
-
C.
Weiß
Weiß is a German surname commonly borne by individuals of German-speaking origin.
-
D.
from Dutch "de" meaning "the" and "Witt" related to "white" or a pale person
De Witt is a Dutch surname historically referring to a fair-haired or pale-complexioned person.
-
E.
Weiss
chosen
Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed572548190bd71ef690fc7befe |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.