Triple

T20619754
Position Surface form Disambiguated ID Type / Status
Subject Pavel Pekar E506667 entity
Predicate name P16 FINISHED
Object Pavel Pekar 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: Pavel Pekar | Statement: [Pavel Pekar, name, Pavel Pekar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavel Pekar
Context triple: [Pavel Pekar, name, Pavel Pekar]
  • A. Pavel Pekar chosen
    Pavel Pekar is an individual notable enough to be recognized as a namesake of the surname Pekar, though specific widely known biographical details are not clearly established.
  • B. Petr Pekar
    Petr Pekar is a person notable enough to be recognized as a bearer of the surname Pekar.
  • C. Peter Cehlarik
    Peter Cehlárik is a Slovak professional ice hockey forward known for his international play with Slovakia and experience in both the NHL and European leagues.
  • D. Filip Hronek
    Filip Hronek is a Czech professional ice hockey defenceman known for his offensive skills from the blue line and play in top European and NHL competition.
  • E. Kris Marszalek
    Kris Marszalek is a Polish entrepreneur best known as the co-founder and CEO of the cryptocurrency exchange and financial services platform Crypto.com.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe0e22c81909f6efe21518e33f0 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:41 a.m.