Triple
T3721675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer |
E81650
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Klaus Fischer
Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
|
E692583
|
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: Klaus Fischer | Statement: [Fischer, hasNotableBearer, Klaus Fischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Fischer Context triple: [Fischer, hasNotableBearer, Klaus Fischer]
-
A.
Klaus Kiessler
Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
B.
Jürgen Frank
Jürgen Frank is a German local politician who serves as the mayor of the municipality of Blindheim in Bavaria.
-
C.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
D.
Bruno Loerzer
Bruno Loerzer was a prominent German First World War fighter ace who later became a high-ranking Luftwaffe general during the Nazi era.
-
E.
Günter Scholz
Günter Scholz is a German mathematician known for his contributions to algebra and the foundations of mathematics.
- 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: Klaus Fischer Triple: [Fischer, hasNotableBearer, Klaus Fischer]
Generated description
Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaus Fischer Target entity description: Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
-
A.
Klaus Kiessler
Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
-
B.
Jürgen Frank
Jürgen Frank is a German local politician who serves as the mayor of the municipality of Blindheim in Bavaria.
-
C.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
D.
Bruno Loerzer
Bruno Loerzer was a prominent German First World War fighter ace who later became a high-ranking Luftwaffe general during the Nazi era.
-
E.
Günter Scholz
Günter Scholz is a German mathematician known for his contributions to algebra and the foundations of mathematics.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca65545c3c819080a4bf7945871e5d |
completed | March 30, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69ca65d0dc908190917389d02ce71c2a |
completed | March 30, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_69ca663ff0b88190af78d7e32ca1c003 |
completed | March 30, 2026, 12:02 p.m. |
Created at: March 8, 2026, 3:34 p.m.