Triple
T21595786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siebert |
E532894
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Seibert |
—
|
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 | Statement: [Siebert, hasVariant, Seibert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seibert Context triple: [Siebert, hasVariant, Seibert]
-
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.
Siegert
Siegert is a German-language surname most notably associated with Johann Gottlieb Benjamin Siegert, the 19th-century creator of Angostura bitters.
-
D.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
-
E.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae15a7c819081627450ae726b0b |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.