Triple
T7285441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goerke House |
E163853
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Hans Goerke |
E663743
|
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: Hans Goerke | Statement: [Goerke House, namedAfter, Hans Goerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Goerke Context triple: [Goerke House, namedAfter, Hans Goerke]
-
A.
Hans Goerke
chosen
Hans Goerke was the original owner and namesake of the historic Goerke House.
-
B.
Henning Lehmann
Henning Lehmann was a distinguished Danish musicologist and academic recognized for his significant contributions to music research and education.
-
C.
Heinz-Jürgen Kluge
Heinz-Jürgen Kluge is a German physicist recognized for his significant contributions to nuclear physics, for which he received the prestigious Lise Meitner Prize.
-
D.
Helge Schneider
Helge Schneider is a German comedian, musician, actor, and author known for his absurdist humor, improvisational jazz performances, and cult status in German-speaking entertainment.
-
E.
Karlheinz Böhm
Karlheinz Böhm was an Austrian-German actor and humanitarian best known for his role as Emperor Franz Joseph in the "Sissi" films and for founding the charity Menschen für Menschen to support development projects in Ethiopia.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb51a8bc8190a3e1ec09ee1aeb38 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827604a808190a362734e864123aa |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 2:59 p.m.