Triple
T14219020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlheinz Böhm |
E352436
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Karlheinz |
E352436
|
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: Karlheinz | Statement: [Karlheinz Böhm, givenName, Karlheinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlheinz Context triple: [Karlheinz Böhm, givenName, Karlheinz]
-
A.
Klaus Märtens
Klaus Märtens was a German doctor and inventor best known for creating the original air-cushioned boots that became the iconic Dr. Martens footwear brand.
-
B.
Wotan Wilke Möhring
Wotan Wilke Möhring is a German actor known for his versatile roles in film and television, including appearances in popular crime series and comedies.
-
C.
Karlheinz Böhm
chosen
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.
-
D.
Arne Schmidt
Arne Schmidt is a film producer best known for his work on the science fiction action franchise "RoboCop."
-
E.
Gerhard Wilck
Gerhard Wilck was a German Wehrmacht officer best known for commanding the final defense of Aachen during World War II before surrendering the city to Allied forces in 1944.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28121a288190975d5852f9a503d4 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.