Triple

T23263862
Position Surface form Disambiguated ID Type / Status
Subject GTO E582089 entity
Predicate screenwriterOfWork P25235 FINISHED
Object Rudy Wurlitzer 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: Rudy Wurlitzer | Statement: [GTO, screenwriterOfWork, Rudy Wurlitzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy Wurlitzer
Context triple: [GTO, screenwriterOfWork, Rudy Wurlitzer]
  • A. Rudy Wurlitzer chosen
    Rudy Wurlitzer is an American novelist and screenwriter known for his experimental, minimalist narratives and influential road-movie and countercultural film scripts.
  • B. Rudolph Wurlitzer
    Rudolph Wurlitzer was a German-American businessman and founder of the Wurlitzer Company, famed for producing musical instruments and theater organs that became iconic in early 20th-century entertainment.
  • C. Albert Kihn
    Albert Kihn is a cinematographer best known for his work on George Lucas’s dystopian science fiction film "THX 1138."
  • D. George Strauss
    George Strauss was a British Labour politician who served for many years as a Member of Parliament and held senior government roles in the mid-20th century.
  • E. Arvin Gottlieb
    Arvin Gottlieb was a prominent Kansas City businessman and philanthropist whose contributions to the community led to several institutions, including a planetarium, being named in his honor.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.