Triple

T8514943
Position Surface form Disambiguated ID Type / Status
Subject Karen Kwan E201548 entity
Predicate relative P37 FINISHED
Object Michelle Kwan E38346 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: Michelle Kwan | Statement: [Karen Kwan, relative, Michelle Kwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Kwan
Context triple: [Karen Kwan, relative, Michelle Kwan]
  • A. Michelle Kwan chosen
    Michelle Kwan is an American figure skating icon and two-time Olympic medalist renowned for her artistry, consistency, and dominance in women’s figure skating during the late 1990s and early 2000s.
  • B. Kristi Yamaguchi
    Kristi Yamaguchi is an American figure skater and 1992 Olympic gold medalist renowned for her artistry and technical skill on the ice.
  • C. Adam Rippon
    Adam Rippon is an American figure skater and 2018 Olympic bronze medalist known for his artistry, outspoken personality, and advocacy for LGBTQ+ rights.
  • D. Sarah Hughes
    Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
  • E. 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.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f2a6ca88190b3f234447feab6e3 completed April 3, 2026, 9:20 p.m.
Created at: March 30, 2026, 6:15 p.m.