Triple
T13610243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverman |
E325168
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Silbermann
Silbermann is a German-language surname borne by various notable individuals, often associated with Central European heritage and culture.
|
E1051057
|
NE FINISHED |
How this triple was built (4 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: Silbermann | Statement: [Silverman, hasVariant, Silbermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silbermann Context triple: [Silverman, hasVariant, Silbermann]
-
A.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
B.
Altmeyer
Altmeyer is a surname most notably associated with Arthur J. Altmeyer, a key architect of the U.S. Social Security system.
-
C.
Hennenman
Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
-
D.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
-
E.
Pewterschmidt
Pewterschmidt is the wealthy, aristocratic family name of Lois Griffin’s parents in the animated television series "Family Guy."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silbermann Triple: [Silverman, hasVariant, Silbermann]
Generated description
Silbermann is a German-language surname borne by various notable individuals, often associated with Central European heritage and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silbermann Target entity description: Silbermann is a German-language surname borne by various notable individuals, often associated with Central European heritage and culture.
-
A.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
B.
Altmeyer
Altmeyer is a surname most notably associated with Arthur J. Altmeyer, a key architect of the U.S. Social Security system.
-
C.
Hennenman
Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
-
D.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
-
E.
Pewterschmidt
Pewterschmidt is the wealthy, aristocratic family name of Lois Griffin’s parents in the animated television series "Family Guy."
- F. None of above. chosen
Provenance (5 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78070e95c819088982e26fe2d8e26 |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.