Triple
T19453117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schilling |
E486665
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Schilling
Peter Schilling is a German synth-pop musician best known internationally for his 1983 hit single "Major Tom (Coming Home)."
|
E1405082
|
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: Peter Schilling | Statement: [Schilling, hasNotableBearer, Peter Schilling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Schilling Context triple: [Schilling, hasNotableBearer, Peter Schilling]
-
A.
Peter Schindler
Peter Schindler is a film producer best known for his work on the romantic comedy "Forget Paris."
-
B.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
-
C.
Christian Schilling
Christian Schilling is a German former professional footballer who played as a defender in the late 20th century.
-
D.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
E.
Peter Schink
Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
- 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: Peter Schilling Triple: [Schilling, hasNotableBearer, Peter Schilling]
Generated description
Peter Schilling is a German synth-pop musician best known internationally for his 1983 hit single "Major Tom (Coming Home)."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Schilling Target entity description: Peter Schilling is a German synth-pop musician best known internationally for his 1983 hit single "Major Tom (Coming Home)."
-
A.
Peter Schindler
Peter Schindler is a film producer best known for his work on the romantic comedy "Forget Paris."
-
B.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
-
C.
Christian Schilling
Christian Schilling is a German former professional footballer who played as a defender in the late 20th century.
-
D.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
E.
Peter Schink
Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804e432988190a8be2ee0be5b3584 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805b60dbc81908c82f9410f290e19 |
completed | May 16, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080679b3e08190aba3254891e739ff |
completed | May 16, 2026, 5:54 a.m. |
Created at: April 10, 2026, 1:38 p.m.