Triple

T19336058
Position Surface form Disambiguated ID Type / Status
Subject Scarecrow E483625 entity
Predicate artDirectionBy P7743 FINISHED
Object Albert Brenner 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: Albert Brenner | Statement: [Scarecrow, artDirectionBy, Albert Brenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Brenner
Context triple: [Scarecrow, artDirectionBy, Albert Brenner]
  • A. Albert Brenner chosen
    Albert Brenner was an American film art director and production designer known for his work on numerous major Hollywood films.
  • B. Roland Brener
    Roland Brener was a British-born Canadian sculptor and influential art educator known for his innovative, often playful approach to contemporary sculpture.
  • C. Albert Schickedanz
    Albert Schickedanz was a Hungarian architect and designer best known for his monumental historicist works in Budapest, including key buildings and ensembles on Andrássy Avenue.
  • D. Hans Brunhart
    Hans Brunhart is a Liechtenstein politician who served for many years as the country's Prime Minister during the reign of Prince Hans-Adam II.
  • E. Kurt Diebner
    Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61645c0dc8190b64e15c735bcb9f4 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.