Triple

T18825053
Position Surface form Disambiguated ID Type / Status
Subject The Heir Apparent: Largo Winch E460362 entity
Predicate starring P1507 FINISHED
Object Karel Roden 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: Karel Roden | Statement: [The Heir Apparent: Largo Winch, starring, Karel Roden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karel Roden
Context triple: [The Heir Apparent: Largo Winch, starring, Karel Roden]
  • A. Karel Roden chosen
    Karel Roden is a Czech actor known internationally for his roles in films such as "Hellboy," "The Bourne Supremacy," and various European and Hollywood productions.
  • B. Oskar Nedbal
    Oskar Nedbal was a Czech violist, conductor, and composer of the late Romantic era, known especially for his operettas and orchestral works.
  • C. Karol Gregor
    Karol Gregor is a machine learning researcher known for his work on deep reinforcement learning and representation learning, including the development of Universal Value Function Approximators.
  • D. John Capek
    John Capek is a songwriter and composer best known for co-writing the hit song "Rhythm of My Heart," popularized by Rod Stewart.
  • E. Oskar Karlweis
    Oskar Karlweis was an Austrian-born stage and film actor known for his character roles in European cinema and later in Hollywood productions.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bdefac8190892d6fd5c20a431e completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.