Triple
T15191338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitus |
E363016
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Veit |
E823003
|
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: Veit | Statement: [Vitus, hasVariant, Veit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veit Context triple: [Vitus, hasVariant, Veit]
-
A.
Veit
chosen
Veit is a German surname most notably associated with the 19th-century Romantic painter Philipp Veit.
-
B.
Veit Bach
Veit Bach was a 16th–17th century miller and baker regarded as the founding ancestor of the famous German musical Bach family.
-
C.
Emmerich
Emmerich is the German form of the given name Imre, used primarily in German-speaking regions.
-
D.
Jürgens
Jürgens is a German surname most notably associated with the Austrian-German actor Curt Jürgens.
-
E.
Valter
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.