Triple
T6799575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldstein |
E156149
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Гольдштейн |
E620937
|
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: Гольдштейн | Statement: [Goldstein, hasTransliteration, Гольдштейн]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Гольдштейн Context triple: [Goldstein, hasTransliteration, Гольдштейн]
-
A.
Goldshteyn
chosen
Goldshteyn is a variant spelling of the Jewish surname Goldstein, commonly found in Russian and Yiddish transliterations.
-
B.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Shteynberg
Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
-
E.
Gershon
Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2cb6b2881909b30bb8020a9d3bf |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f9926ec8190bff8d01e3ab0d0da |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:15 p.m.