Triple

T16286280
Position Surface form Disambiguated ID Type / Status
Subject Gut E395395 entity
Predicate hasNotableBearer P458 FINISHED
Object Karel Gut E91786 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 Gut | Statement: [Gut, hasNotableBearer, Karel Gut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karel Gut
Context triple: [Gut, hasNotableBearer, Karel Gut]
  • A. Karel Gut chosen
    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.
  • B. Karel Škorpil
    Karel Škorpil was a Czech-Bulgarian archaeologist and historian regarded as a pioneer of Bulgarian archaeology and the systematic study of the country’s ancient heritage.
  • C. Karel Kramář
    Karel Kramář was a Czech politician and statesman who played a key role in the creation of Czechoslovakia and became its first prime minister after World War I.
  • D. František Debelka
    František Debelka was an actor known for his role in Miloš Forman’s classic Czechoslovak comedy film "The Firemen’s Ball."
  • E. Karel Raška
    Karel Raška was a Czech epidemiologist renowned for pioneering the surveillance-and-containment strategy that became central to the global eradication of smallpox.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.