Triple

T14604149
Position Surface form Disambiguated ID Type / Status
Subject Prague Conservatory E342782 entity
Predicate notableAlumni P51 FINISHED
Object Karel Roden E197247 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: Karel Roden | Statement: [Prague Conservatory, notableAlumni, Karel Roden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karel Roden
Context triple: [Prague Conservatory, notableAlumni, 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. Josef Jennewein
    Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
  • C. Karel Gut
    Karel Gut was a prominent Czech ice hockey coach and former player who significantly influenced Czechoslovak and later Czech ice hockey at the international level.
  • D. Siegfried Javotnik
    Siegfried Javotnik is the impulsive, idealistic young Austrian protagonist of John Irving’s novel "Setting Free the Bears," whose quixotic plan to liberate zoo animals drives the story’s central events.
  • E. Josef Swickard
    Josef Swickard was a German-born American character actor of the silent film era, known for his numerous supporting roles in early Hollywood cinema.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44bf67c8190b4c48a7715f9443e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ce6c208190a732f1a25700f07c completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.