Triple
T13816911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginzburg |
E332042
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ginzberg |
E332042
|
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: Ginzberg | Statement: [Ginzburg, hasVariant, Ginzberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginzberg Context triple: [Ginzburg, hasVariant, Ginzberg]
-
A.
Ginzburg
chosen
Ginzburg is a Russian surname most notably associated with Nobel Prize–winning physicist Vitaly Ginzburg and several other prominent figures in science, literature, and the arts.
-
B.
Gershon
Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
-
C.
Gershon
Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
-
D.
Grossbaum
Grossbaum is the original family surname of Benjamin Graham, the influential economist and "father of value investing."
-
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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e1fbec8190bab64357f8c5438f |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.