Triple

T8982964
Position Surface form Disambiguated ID Type / Status
Subject Michael Nylander E214579 entity
Predicate familyName P18 FINISHED
Object Nylander E477785 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: Nylander | Statement: [Michael Nylander, familyName, Nylander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nylander
Context triple: [Michael Nylander, familyName, Nylander]
  • A. William Nylander chosen
    William Nylander is a Swedish professional ice hockey forward known for his offensive skill and playmaking ability, primarily starring for the Toronto Maple Leafs in the NHL.
  • B. Niko Kapanen
    Niko Kapanen is a Finnish former professional ice hockey center who played several seasons in the NHL and KHL and represented Finland in multiple international tournaments.
  • C. William Karlsson
    William Karlsson is a Swedish professional ice hockey center best known as a leading scorer and original standout for the NHL’s Vegas Golden Knights.
  • D. Nathan Alexander
    Nathan Alexander is a screenwriter best known for co-writing the World War II thriller film "Valkyrie" (2008) starring Tom Cruise.
  • E. Tommy Kahnle
    Tommy Kahnle is an American professional baseball relief pitcher known for his high-velocity fastball and stints with multiple Major League Baseball teams, including the New York Yankees and Los Angeles Dodgers.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a891e881909e4b84ed82491651 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0b3ce0c81908a7b4297e0867cc9 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:03 p.m.