Triple
T9393305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Luedtke |
E226078
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Luedtke |
E226078
|
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: Luedtke | Statement: [Kurt Luedtke, familyName, Luedtke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luedtke Context triple: [Kurt Luedtke, familyName, Luedtke]
-
A.
Kurt Luedtke
chosen
Kurt Luedtke was an American screenwriter and former journalist best known for his Academy Award–winning screenplay for the film "Out of Africa."
-
B.
Liedtke
Liedtke is a German-origin surname borne by various notable individuals in fields such as the arts, business, and academia.
-
C.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
-
D.
Kiepenkerl
Kiepenkerl is a sculptural artwork by Jeff Koons that depicts a traditional German peddler figure in polished stainless steel, exemplifying his interest in banality and kitsch.
-
E.
Kleiman
Kleiman is a surname of Dutch origin borne by various notable individuals, including those associated with the Dutch resistance during World War II.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510fec6481908b51c497744068c8 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10108cd0c8190a38ee2325d3475ce |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:45 p.m.