Triple

T14744088
Position Surface form Disambiguated ID Type / Status
Subject Jakub Klepiš E346421 entity
Predicate playedFor P2170 FINISHED
Object Lev Praha E346418 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: Lev Praha | Statement: [Jakub Klepiš, playedFor, Lev Praha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lev Praha
Context triple: [Jakub Klepiš, playedFor, Lev Praha]
  • A. Lev Praha chosen
    Lev Praha was a professional ice hockey club based in Prague, Czech Republic, that competed in the Kontinental Hockey League (KHL).
  • B. Jeronym Pražský
    Jeronym Pražský, known in English as Jerome of Prague, was a Czech theologian, philosopher, and early church reformer associated with Jan Hus and the Bohemian Reformation.
  • C. Pavel Scheftel
    Pavel Scheftel was a Russian physician best known as the husband of pioneering psychoanalyst Sabina Spielrein.
  • D. Loew of Prague
    Loew of Prague is the renowned 16th-century rabbi and Talmudic scholar traditionally associated with the legend of creating the Golem of Prague.
  • E. Eduard Blutig
    Eduard Blutig is a pseudonym used by American writer and illustrator Edward Gorey, known for his macabre, Victorian-inspired illustrated stories.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce843a481908f376172d4a8b70a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.