Triple
T21610185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shteiner |
E533283
|
entity |
| Predicate | hasOrthographicVariant |
P457
|
FINISHED |
| Object | Shteyner |
—
|
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: Shteyner | Statement: [Shteiner, hasOrthographicVariant, Shteyner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shteyner Context triple: [Shteiner, hasOrthographicVariant, Shteyner]
-
A.
Shteynberg
Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
-
B.
Shteiner
chosen
Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
-
C.
Shtern
Shtern is a surname most notably associated with Grigory Shtern, a Soviet military commander.
-
D.
Ravnitzky
Ravnitzky is a Jewish family name most notably associated with Yehoshua Ravnitzky, a prominent Hebrew writer, editor, and publisher.
-
E.
Plotnitsky
Plotnitsky is a surname most notably associated with Igor Plotnitsky, a scholar known for his work in literary theory, philosophy, and the study of science and mathematics.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.