Triple
T17130020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert C. Wedemeyer |
E415695
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wedemeyer |
E415695
|
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: 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.
Wedemeyer
chosen
Wedemeyer is a German-origin surname most notably associated with U.S. Army General Albert C. Wedemeyer, a key strategist during World War II.
-
B.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
-
C.
Diemberger
Diemberger is a surname most notably associated with Austrian mountaineer and filmmaker Kurt Diemberger, one of the few people to have made first ascents of two 8,000-meter peaks.
-
D.
Getzlaf
Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f029d1a48190a9d4094827d11d23 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414cd5d481908d11eb230d2283cd |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.