Triple

T17182061
Position Surface form Disambiguated ID Type / Status
Subject Voyager E417007 entity
Predicate screenwriter P2831 FINISHED
Object Rudy Wurlitzer E582085 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: Rudy Wurlitzer | Statement: [Voyager, screenwriter, Rudy Wurlitzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy Wurlitzer
Context triple: [Voyager, screenwriter, 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 (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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.