Triple

T12430439
Position Surface form Disambiguated ID Type / Status
Subject Cindy Klassen E297014 entity
Predicate name P16 FINISHED
Object Cindy Klassen E297014 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: Cindy Klassen | Statement: [Cindy Klassen, name, Cindy Klassen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Klassen
Context triple: [Cindy Klassen, name, Cindy Klassen]
  • A. Cindy Klassen chosen
    Cindy Klassen is a Canadian long track speed skater and multiple Olympic medalist, widely regarded as one of Canada's greatest winter athletes.
  • B. Clara Hughes
    Clara Hughes is a celebrated Canadian cyclist and speed skater, renowned as one of the few athletes to win multiple medals at both the Summer and Winter Olympic Games.
  • C. Bonnie Blair
    Bonnie Blair is an American speed skater and one of the most decorated female Winter Olympians, renowned for her multiple gold medals in sprint events during the late 1980s and early 1990s.
  • D. Kristi Yamaguchi
    Kristi Yamaguchi is an American figure skater and 1992 Olympic gold medalist renowned for her artistry and technical skill on the ice.
  • E. Sarah Hughes
    Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349b075c8190b77cd51bc45be8ef completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.