Triple
T3769637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Eucken |
E82764
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eucken |
E358894
|
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: Eucken | Statement: [Walter Eucken, familyName, Eucken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eucken Context triple: [Walter Eucken, familyName, Eucken]
-
A.
Rudolf Eucken
chosen
Rudolf Eucken was a German philosopher and Nobel Prize in Literature laureate known for his work on ethical activism and spiritual life.
-
B.
Hermann Hess
Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
-
C.
Paul Körner
Paul Körner was a high-ranking Nazi official and close associate of Hermann Göring who played a key role in the economic and industrial mobilization of the Third Reich.
-
D.
Hermann Kallenbach
Hermann Kallenbach was a German-Jewish architect and close associate of Mahatma Gandhi who became one of his most devoted supporters during Gandhi’s years in South Africa.
-
E.
Paul Junger Witt
Paul Junger Witt was an American television and film producer best known for creating and producing popular sitcoms such as "The Golden Girls" and "Soap."
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2f016c81909c2e3c85dbc3c259 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.