Triple
T3160499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triumph des Willens |
E66088
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Walter Frentz |
E287075
|
NE FINISHED |
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: Walter Frentz | Statement: [Triumph des Willens, cinematographyBy, Walter Frentz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Frentz Context triple: [Triumph des Willens, cinematographyBy, Walter Frentz]
-
A.
Walter Frentz
chosen
Walter Frentz was a German cameraman and filmmaker known for his close collaboration with Leni Riefenstahl and his work on Nazi propaganda films.
-
B.
Herbert Funck
Herbert Funck was a German entrepreneur best known as a co-founder of the iconic Dr. Martens footwear brand.
-
C.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
D.
Michael Schaefer
Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
-
E.
Fritz Dieter
Fritz Dieter was a German architect best known for co-designing Berlin’s iconic Fernsehturm (TV Tower), a landmark of East German modernist architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61606bc8190a8ad760d680924eb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250d2b8c81908585d9563f9b4d16 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.