Triple
T4139558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert C. Wedemeyer |
E89238
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wedemeyer
Wedemeyer is a German-origin surname most notably associated with U.S. Army General Albert C. Wedemeyer, a key strategist during World War II.
|
E415695
|
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: Wedemeyer | Statement: [Albert C. Wedemeyer, familyName, Wedemeyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wedemeyer Context triple: [Albert C. Wedemeyer, familyName, Wedemeyer]
-
A.
Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
-
B.
Wüthrich
Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
-
C.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
D.
Heimberger
Heimberger is the original surname of American actor Eddie Albert, best known for his role in the television series "Green Acres."
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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: Wedemeyer Triple: [Albert C. Wedemeyer, familyName, Wedemeyer]
Generated description
Wedemeyer is a German-origin surname most notably associated with U.S. Army General Albert C. Wedemeyer, a key strategist during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wedemeyer Target entity description: Wedemeyer is a German-origin surname most notably associated with U.S. Army General Albert C. Wedemeyer, a key strategist during World War II.
-
A.
Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
-
B.
Wüthrich
Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
-
C.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
D.
Heimberger
Heimberger is the original surname of American actor Eddie Albert, best known for his role in the television series "Green Acres."
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02485a788190ba6ee769e663b2d3 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576ccdf348190a80305485bee354e |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b577785cdc8190ad0864d63aadf908 |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b578168ecc8190bc47f0902b130c7d |
completed | March 14, 2026, 3 p.m. |
Created at: March 9, 2026, 3:43 p.m.