Triple
T2071486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tübingen |
E44823
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object |
Horst Köhler
Horst Köhler is a German politician and economist who served as President of Germany from 2004 to 2010.
|
E258508
|
NE FINISHED |
How this triple was built (4 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: Horst Köhler | Statement: [University of Tübingen, hasNotableAlumnus, Horst Köhler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horst Köhler Context triple: [University of Tübingen, hasNotableAlumnus, Horst Köhler]
-
A.
Erich Kretschmann
Erich Kretschmann was a German physicist and mathematician known for his contributions to general relativity, particularly in the study of spacetime curvature invariants.
-
B.
Gerhard Wagner
Gerhard Wagner is a scientist known as a prominent student and collaborator of Nobel Prize–winning chemist Kurt Wüthrich, contributing to the field of biomolecular NMR spectroscopy.
-
C.
Ulrich Merkel
Ulrich Merkel is a German physicist best known as the first husband of former German chancellor Angela Merkel.
-
D.
Hermann Köhl
Hermann Köhl was a German aviation pioneer best known for co-piloting the first successful east-to-west non-stop transatlantic flight in 1928.
-
E.
Walter Kohl
Walter Kohl is a German businessman and author best known as the son of former Chancellor Helmut Kohl.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Horst Köhler Triple: [University of Tübingen, hasNotableAlumnus, Horst Köhler]
Generated description
Horst Köhler is a German politician and economist who served as President of Germany from 2004 to 2010.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horst Köhler Target entity description: Horst Köhler is a German politician and economist who served as President of Germany from 2004 to 2010.
-
A.
Erich Kretschmann
Erich Kretschmann was a German physicist and mathematician known for his contributions to general relativity, particularly in the study of spacetime curvature invariants.
-
B.
Gerhard Wagner
Gerhard Wagner is a scientist known as a prominent student and collaborator of Nobel Prize–winning chemist Kurt Wüthrich, contributing to the field of biomolecular NMR spectroscopy.
-
C.
Ulrich Merkel
Ulrich Merkel is a German physicist best known as the first husband of former German chancellor Angela Merkel.
-
D.
Hermann Köhl
Hermann Köhl was a German aviation pioneer best known for co-piloting the first successful east-to-west non-stop transatlantic flight in 1928.
-
E.
Walter Kohl
Walter Kohl is a German businessman and author best known as the son of former Chancellor Helmut Kohl.
- F. None of above. chosen
Provenance (5 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0d20bc8190b19a32157f8b1607 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95efea5c8190a8a63e36cf3247e7 |
completed | March 9, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ae9694c390819095b3e935224902d3 |
completed | March 9, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9a5b2a04819091b102c51a5b2af4 |
completed | March 9, 2026, 10 a.m. |
Created at: March 4, 2026, 7:41 p.m.