Triple

T13218840
Position Surface form Disambiguated ID Type / Status
Subject Olympia Part Two: Festival of Beauty E314693 entity
Predicate cinematographyBy P1953 FINISHED
Object Hans Ertl E288074 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: Hans Ertl | Statement: [Olympia Part Two: Festival of Beauty, cinematographyBy, Hans Ertl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Ertl
Context triple: [Olympia Part Two: Festival of Beauty, cinematographyBy, Hans Ertl]
  • A. Hans Ertl chosen
    Hans Ertl was a German cameraman and cinematographer best known for his work on Leni Riefenstahl’s Nazi propaganda film "Olympia."
  • B. Fritz Luchsinger
    Fritz Luchsinger was a Swiss mountaineer best known as one of the first climbers to reach the summit of Lhotse, the world’s fourth-highest mountain.
  • C. Erwin Bälz
    Erwin Bälz was a German internist and physiologist renowned for his pioneering contributions to modern medicine in Japan during the Meiji era.
  • D. Oskar König
    Oskar König is a person notable enough to be recognized as a prominent bearer of the surname König.
  • E. Otto Haas
    Otto Haas was a German-born American businessman and philanthropist best known as the co-founder of the specialty chemicals company Rohm and Haas.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c2c15c819096a0eb84e7551f6f completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:18 p.m.