Triple
T18685478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Helbronner |
E456848
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Helbronner |
—
|
NE NERFINISHED |
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: Paul Helbronner | Statement: [Paul Helbronner, name, Paul Helbronner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Helbronner Context triple: [Paul Helbronner, name, Paul Helbronner]
-
A.
Paul Helbronner
chosen
Paul Helbronner was a French geodesist and mountaineer known for his extensive topographical surveys of the French Alps.
-
B.
Michael Bruhn
Michael Bruhn is a person notable enough to be recognized as a namesake of the surname Bruhn, though specific widely known public details about him are not clearly established.
-
C.
Paul Bonatz
Paul Bonatz was a prominent German architect and engineer known for his influential early 20th-century works, including the main station in Stuttgart and numerous bridges and public buildings.
-
D.
Alexander Heppe
Alexander Heppe is a German local politician who serves as the mayor of the town of Eschwege.
-
E.
Paul Bruhn
Paul Bruhn is a historic preservation advocate known for his long-time leadership of the Preservation Trust of Vermont, where he worked to revitalize downtowns and protect the state's architectural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.