Triple
T6799573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldstein |
E156149
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Goldshtein |
E156149
|
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: Goldshtein | Statement: [Goldstein, hasVariant, Goldshtein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldshtein Context triple: [Goldstein, hasVariant, Goldshtein]
-
A.
Goldstein
chosen
Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
C.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
D.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
E.
Eisenberg
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
- 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_69c71a9826648190b4f59c1a8efc4b9c |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.