Triple
T16095947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G Men |
E390484
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Bernhard Kaun |
—
|
NE NERFINISHED |
How this triple was built (2 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: Bernhard Kaun | Statement: [G Men, musicBy, Bernhard Kaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernhard Kaun Context triple: [G Men, musicBy, Bernhard Kaun]
-
A.
Bernhard Kaun
chosen
Bernhard Kaun was a German-American composer and orchestrator best known for his work on early Hollywood film scores, particularly in the horror genre.
-
B.
Herbert Boeckl
Herbert Boeckl was a prominent Austrian painter and influential modernist whose expressive, often abstract works helped shape 20th-century Austrian art.
-
C.
Werner Kogler
Werner Kogler is an Austrian Green Party politician who has served as the country’s vice-chancellor and is known for his role in bringing the Greens into a federal governing coalition.
-
D.
Franz Kutschera
Franz Kutschera was a high-ranking SS and Nazi official who served as the brutal SS and Police Leader in occupied Warsaw during World War II.
-
E.
Gotthard Graubner
Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1859283008190baac96142b5c7e53 |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:59 a.m.