Triple
T12563969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneider |
E295419
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Schnyder
Schnyder is a surname of Germanic origin, commonly found in German-speaking regions and considered a variant spelling of Schneider.
|
E991287
|
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: Schnyder | Statement: [Schneider, hasVariant, Schnyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schnyder Context triple: [Schneider, hasVariant, Schnyder]
-
A.
Schrempf
Schrempf is a German surname most notably associated with former NBA basketball player Detlef Schrempf.
-
B.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
C.
Arison
Arison is a surname most prominently associated with the Israeli-American Arison family, known for its major roles in global business and philanthropy, including leadership of Carnival Corporation.
-
D.
Schuffenecker
Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
-
E.
Strohmeier
Strohmeier is a German surname borne by various notable individuals in fields such as politics, academia, and sports.
- 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: Schnyder Triple: [Schneider, hasVariant, Schnyder]
Generated description
Schnyder is a surname of Germanic origin, commonly found in German-speaking regions and considered a variant spelling of Schneider.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schnyder Target entity description: Schnyder is a surname of Germanic origin, commonly found in German-speaking regions and considered a variant spelling of Schneider.
-
A.
Schrempf
Schrempf is a German surname most notably associated with former NBA basketball player Detlef Schrempf.
-
B.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
C.
Arison
Arison is a surname most prominently associated with the Israeli-American Arison family, known for its major roles in global business and philanthropy, including leadership of Carnival Corporation.
-
D.
Schuffenecker
Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
-
E.
Strohmeier
Strohmeier is a German surname borne by various notable individuals in fields such as politics, academia, and sports.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f65a0f1b2881908a7cb21c9de1a5c2 |
completed | May 2, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65ad4424c8190933759cca5d73c22 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 8, 2026, 11:49 p.m.