Triple
T20188544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schumacher |
E492925
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Schumaker
Schumaker is a surname that serves as a spelling variant of the more common German-derived name Schumacher.
|
E1374196
|
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: Schumaker | Statement: [Schumacher, hasVariant, Schumaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schumaker Context triple: [Schumacher, hasVariant, Schumaker]
-
A.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
B.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
-
C.
Schoenmaker
Schoenmaker is a Dutch surname, a spelling variant of "Schoonmaker," traditionally meaning "shoemaker" or "cleaner."
-
D.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
E.
Kummer
Kummer is a German surname most notably associated with the 19th-century mathematician Ernst Eduard Kummer, known for his contributions to number theory and algebra.
- 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: Schumaker Triple: [Schumacher, hasVariant, Schumaker]
Generated description
Schumaker is a surname that serves as a spelling variant of the more common German-derived name Schumacher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schumaker Target entity description: Schumaker is a surname that serves as a spelling variant of the more common German-derived name Schumacher.
-
A.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
B.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
-
C.
Schoenmaker
chosen
Schoenmaker is a Dutch surname, a spelling variant of "Schoonmaker," traditionally meaning "shoemaker" or "cleaner."
-
D.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
E.
Kummer
Kummer is a German surname most notably associated with the 19th-century mathematician Ernst Eduard Kummer, known for his contributions to number theory and algebra.
- F. None of above.
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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad404508190981cfb7cab18d8d3 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c83f250819091828379318bf0a2 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083de4745c819093c2eeba0c9bfa19 |
completed | May 16, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083f2d7db081908c281445210f551b |
completed | May 16, 2026, 9:55 a.m. |
Created at: April 11, 2026, 11:37 p.m.