Triple
T13227200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonhard Tietz |
E314911
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leonhard Tietz |
E314911
|
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: Leonhard Tietz | Statement: [Leonhard Tietz, name, Leonhard Tietz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonhard Tietz Context triple: [Leonhard Tietz, name, Leonhard Tietz]
-
A.
Leonhard Tietz
chosen
Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
-
B.
Werner Scholl
Werner Scholl was the younger brother of Hans and Sophie Scholl, associated with the White Rose resistance circle in Nazi Germany.
-
C.
Harald Quandt
Harald Quandt was a German industrialist and heir to the Quandt family fortune, notable as the only surviving child of Magda Goebbels from her previous marriage.
-
D.
Helmut Friedrichs
Helmut Friedrichs was a Nazi Party official who served as a State Secretary in the Party Chancellery under Adolf Hitler’s regime in Germany.
-
E.
Bernard Kroger
Bernard Kroger was an American businessman and entrepreneur best known for founding the Kroger grocery store chain, which grew into one of the largest supermarket chains in the United States.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:21 p.m.