Triple

T5855806
Position Surface form Disambiguated ID Type / Status
Subject Marcel Hossa E130148 entity
Predicate sibling P363 FINISHED
Object Marián Hossa E24610 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: Marián Hossa | Statement: [Marcel Hossa, sibling, Marián Hossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marián Hossa
Context triple: [Marcel Hossa, sibling, Marián Hossa]
  • A. Marián Hossa chosen
    Marián Hossa is a Slovak former professional ice hockey winger and Hockey Hall of Famer best known for his prolific NHL career and three Stanley Cup championships with the Chicago Blackhawks.
  • B. Samuel Vanek
    Samuel Vanek is the troubled young boy at the center of the Australian horror film "The Babadook," whose fears and behavior drive much of the movie’s psychological tension.
  • C. Marcel Hossa
    Marcel Hossa is a Slovak former professional ice hockey forward who played in the NHL and various European leagues.
  • D. Jaroslav Halák
    Jaroslav Halák is a Slovak professional ice hockey goaltender known for his standout NHL career and key performances in international competition.
  • E. Peter Stastny
    Peter Šťastný is a Slovak-born Hall of Fame center who became one of the NHL’s most prolific playmakers in the 1980s, primarily starring for the Quebec Nordiques.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03555cd6081908b0307decd60d2bc completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e369ce248190af33d7c09ee10af6 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:55 p.m.