Triple
T10469019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helloween |
E246876
|
entity |
| Predicate | originalMember |
P446
|
FINISHED |
| Object |
Ingo Schwichtenberg
Ingo Schwichtenberg was a German drummer best known for his influential work with the pioneering power metal band Helloween during their classic 1980s era.
|
E994913
|
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: Ingo Schwichtenberg | Statement: [Helloween, originalMember, Ingo Schwichtenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingo Schwichtenberg Context triple: [Helloween, originalMember, Ingo Schwichtenberg]
-
A.
Ingo Steuer
Ingo Steuer is a German former pair skater and coach best known for winning the 1997 World Championship title with partner Mandy Wötzel.
-
B.
Thorsten Kornblum
Thorsten Kornblum is a German politician who serves as the mayor of the city of Braunschweig.
-
C.
Rainer Klausmann
Rainer Klausmann is a Swiss cinematographer known for his work on acclaimed European films, including the World War II drama "Downfall."
-
D.
Jürgen Prochnow
Jürgen Prochnow is a German actor best known internationally for his intense performances in films such as "Das Boot" and numerous Hollywood productions.
-
E.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
- 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: Ingo Schwichtenberg Triple: [Helloween, originalMember, Ingo Schwichtenberg]
Generated description
Ingo Schwichtenberg was a German drummer best known for his influential work with the pioneering power metal band Helloween during their classic 1980s era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ingo Schwichtenberg Target entity description: Ingo Schwichtenberg was a German drummer best known for his influential work with the pioneering power metal band Helloween during their classic 1980s era.
-
A.
Ingo Steuer
Ingo Steuer is a German former pair skater and coach best known for winning the 1997 World Championship title with partner Mandy Wötzel.
-
B.
Thorsten Kornblum
Thorsten Kornblum is a German politician who serves as the mayor of the city of Braunschweig.
-
C.
Rainer Klausmann
Rainer Klausmann is a Swiss cinematographer known for his work on acclaimed European films, including the World War II drama "Downfall."
-
D.
Jürgen Prochnow
Jürgen Prochnow is a German actor best known internationally for his intense performances in films such as "Das Boot" and numerous Hollywood productions.
-
E.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6684574908190bd7e3d1a7dd6d876 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 6, 2026, 12:20 p.m.