Triple
T10722103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horst Buchholz |
E252846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Buchholz |
E785031
|
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: Buchholz | Statement: [Horst Buchholz, familyName, Buchholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buchholz Context triple: [Horst Buchholz, familyName, Buchholz]
-
A.
Buchholz
chosen
Buchholz was a former town in Saxony, Germany, that later became part of the city of Annaberg-Buchholz.
-
B.
Bucholz
Bucholz is the namesake of Bucholz Army Airfield, likely a military figure commemorated for service or significance to the U.S. armed forces.
-
C.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
D.
Ehmke
Ehmke is a German-origin surname borne by various notable individuals, including figures in sports, music, and academia.
-
E.
Mathewson
Mathewson is the surname most famously associated with Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d43655081909b071100c96cb4f6 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
Created at: April 8, 2026, 9:13 p.m.