Triple

T14486082
Position Surface form Disambiguated ID Type / Status
Subject Karel Čapek E359231 entity
Predicate name P16 FINISHED
Object Karel Čapek E359231 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 Čapek | Statement: [Karel Čapek, name, Karel Čapek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karel Čapek
Context triple: [Karel Čapek, name, Karel Čapek]
  • A. Karel Čapek chosen
    Karel Čapek was a Czech writer and playwright best known internationally for his science fiction works, including the play "R.U.R." which introduced the word "robot" to the world.
  • B. Jaroslav Hašek
    Jaroslav Hašek was a Czech writer and satirist best known for his unfinished comic novel "The Good Soldier Švejk," a classic of anti-war literature.
  • C. Karel Černý
    Karel Černý was a Czech production designer and art director renowned for his work on major films, including the period drama "Valmont."
  • D. Karel Hašek
    Karel Hašek is a Czech individual notable enough to be recognized as a bearer of the surname Hašek, likely for contributions in a public or professional field.
  • E. Miroslav Hašek
    Miroslav Hašek is a Czech ice hockey player known for his career as a forward in European professional leagues.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a925148190992101984895a20b completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.