Triple

T3385613
Position Surface form Disambiguated ID Type / Status
Subject Zdeno Chára E71293 entity
Predicate givenName P17 FINISHED
Object Zdeno E69321 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: Zdeno | Statement: [Zdeno Chára, givenName, Zdeno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zdeno
Context triple: [Zdeno Chára, givenName, Zdeno]
  • A. Zdeno chosen
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • B. Jaromír
    Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
  • C. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • D. Ivan Hlinka
    Ivan Hlinka was a legendary Czech ice hockey player and coach, renowned as one of Europe’s greatest forwards and a key figure in Czechoslovakia’s international hockey success.
  • E. Andrej Hlinka
    Andrej Hlinka was a Slovak Catholic priest and nationalist politician who became a leading figure in the Slovak autonomy movement in the early 20th century.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33455ae2481908e6478cb240b31c1 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.