Triple
T18768206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibert |
E458944
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Seibert (possible variant) |
—
|
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: Seibert (possible variant) | Statement: [Sibert, spellingVariantOf, Seibert (possible variant)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seibert (possible variant) Context triple: [Sibert, spellingVariantOf, Seibert (possible variant)]
-
A.
Seibert
chosen
Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
-
B.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
C.
Selbitz
Selbitz is a small town in the Upper Franconia region of Bavaria, Germany, known for its picturesque setting near the Franconian Forest.
-
D.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
E.
Sieber
Sieber is the family name of Maria Riva, the actress and author who was the daughter of film legend Marlene Dietrich.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d867264819098ae35c9feab3bb4 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.