Triple

T19955440
Position Surface form Disambiguated ID Type / Status
Subject Czech Olympic team E479668 entity
Predicate notableAthlete P10392 FINISHED
Object Emil Zátopek 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: Emil Zátopek | Statement: [Czech Olympic team, notableAthlete, Emil Zátopek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emil Zátopek
Context triple: [Czech Olympic team, notableAthlete, Emil Zátopek]
  • A. Emil Zátopek chosen
    Emil Zátopek was a legendary Czech long-distance runner renowned for his multiple Olympic gold medals and pioneering, brutally intense training methods.
  • B. Jan Železný
    Jan Železný is a legendary Czech javelin thrower, widely regarded as one of the greatest in history and the long-standing world record holder in the event.
  • C. Paavo Nurmi
    Paavo Nurmi was a legendary Finnish middle- and long-distance runner, nicknamed the "Flying Finn," who won nine Olympic gold medals in the 1920s.
  • D. Roman Šebrle
    Roman Šebrle is a Czech former decathlete who became the first man to surpass 9,000 points in the decathlon and was one of the event’s dominant figures in the early 2000s.
  • E. Jaromír Štětina
    Jaromír Štětina is a Czech journalist, war correspondent, and politician known for his reporting from conflict zones and his later service as a senator and Member of the European Parliament.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aefd9488190b8cdfa8543db8d31 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.