Triple
T6386695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lohse |
E143717
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rolf Lohse
Rolf Lohse is a German former sprint canoeist who competed internationally in the 1970s.
|
E591466
|
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: Rolf Lohse | Statement: [Lohse, hasNotableBearer, Rolf Lohse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Lohse Context triple: [Lohse, hasNotableBearer, Rolf Lohse]
-
A.
Rolf Behrens
Rolf Behrens is a person notable enough to be recognized as a prominent bearer of the surname Behrens.
-
B.
Thomas Schütte
Thomas Schütte is a contemporary German artist renowned for his diverse body of work spanning sculpture, architecture, and works on paper that often explore memory, monumentality, and the human condition.
-
C.
Günther Behnisch
Günther Behnisch was a prominent German architect best known for his innovative, lightweight, and expressive modernist designs, including major sports and public buildings in postwar Germany.
-
D.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
E.
Jürgen Mayer
Jürgen Mayer is a German architect and artist known for his innovative, sculptural designs that blend architecture with digital technology and public art.
- 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: Rolf Lohse Triple: [Lohse, hasNotableBearer, Rolf Lohse]
Generated description
Rolf Lohse is a German former sprint canoeist who competed internationally in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rolf Lohse Target entity description: Rolf Lohse is a German former sprint canoeist who competed internationally in the 1970s.
-
A.
Rolf Behrens
Rolf Behrens is a person notable enough to be recognized as a prominent bearer of the surname Behrens.
-
B.
Thomas Schütte
Thomas Schütte is a contemporary German artist renowned for his diverse body of work spanning sculpture, architecture, and works on paper that often explore memory, monumentality, and the human condition.
-
C.
Günther Behnisch
Günther Behnisch was a prominent German architect best known for his innovative, lightweight, and expressive modernist designs, including major sports and public buildings in postwar Germany.
-
D.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
E.
Jürgen Mayer
Jürgen Mayer is a German architect and artist known for his innovative, sculptural designs that blend architecture with digital technology and public art.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068688bfc8190a28918d58d0cfd2e |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6387dc8888190ba63efcc9aff41b2 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63b0165ac8190bb6001504d4abfcc |
completed | March 27, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b6373e88190b676ee85be8c06fb |
completed | March 27, 2026, 8:10 a.m. |
Created at: March 22, 2026, 4:34 p.m.