Triple
T6217186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comedian Harmonists (film) |
E139017
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Erwin Bootz
Erwin Bootz was a German pianist best known as a member of the renowned vocal ensemble the Comedian Harmonists.
|
E577091
|
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: Erwin Bootz | Statement: [Comedian Harmonists (film), mainCharacter, Erwin Bootz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erwin Bootz Context triple: [Comedian Harmonists (film), mainCharacter, Erwin Bootz]
-
A.
Rudi Fehr
Rudi Fehr was a German-born American film editor known for his work on numerous Hollywood films from the 1940s through the 1970s.
-
B.
Waldi
Waldi is the dachshund dog character that served as the first official Olympic mascot, created for the 1972 Summer Games in Munich.
-
C.
Dirk Wilutzky
Dirk Wilutzky is a German film producer and director best known for his work on the Academy Award–winning documentary "Citizenfour."
-
D.
Jürgen
Jürgen is a masculine given name of German origin, commonly used in German-speaking countries.
-
E.
Fritz Schmidt
Fritz Schmidt is a relatively common German personal name shared by several notable individuals, including politicians, musicians, and athletes.
- 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: Erwin Bootz Triple: [Comedian Harmonists (film), mainCharacter, Erwin Bootz]
Generated description
Erwin Bootz was a German pianist best known as a member of the renowned vocal ensemble the Comedian Harmonists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erwin Bootz Target entity description: Erwin Bootz was a German pianist best known as a member of the renowned vocal ensemble the Comedian Harmonists.
-
A.
Rudi Fehr
Rudi Fehr was a German-born American film editor known for his work on numerous Hollywood films from the 1940s through the 1970s.
-
B.
Waldi
Waldi is the dachshund dog character that served as the first official Olympic mascot, created for the 1972 Summer Games in Munich.
-
C.
Dirk Wilutzky
Dirk Wilutzky is a German film producer and director best known for his work on the Academy Award–winning documentary "Citizenfour."
-
D.
Jürgen
Jürgen is a masculine given name of German origin, commonly used in German-speaking countries.
-
E.
Fritz Schmidt
Fritz Schmidt is a relatively common German personal name shared by several notable individuals, including politicians, musicians, and athletes.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a35e308190be25c41b02704411 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20db4e0ac8190ba7bca1f9d8ac6df |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c20ff2bb188190baf8a849efc15f87 |
completed | March 24, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21365f8f48190970555bd9593b5a4 |
completed | March 24, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4:21 p.m.