Triple

T1184423
Position Surface form Disambiguated ID Type / Status
Subject Marián Gáborík E25212 entity
Predicate familyName P18 FINISHED
Object Gáborík E25212 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: Gáborík | Statement: [Marián Gáborík, familyName, Gáborík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gáborík
Context triple: [Marián Gáborík, familyName, Gáborík]
  • A. Marián Gáborík chosen
    Marián Gáborík is a Slovak former professional ice hockey winger known for his elite speed and scoring ability in the NHL, particularly with the Minnesota Wild and Los Angeles Kings.
  • B. Zdeno
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • C. 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.
  • D. Adam Buksa
    Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
  • E. Martin Procházka
    Martin Procházka is a Czech former professional ice hockey forward known for his international success with the Czech national team and a lengthy career in European leagues and the NHL.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd37b4a88190bb71a2d272c5fd1a completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3443588190af6c06383e904e7d completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.