Triple

T13022957
Position Surface form Disambiguated ID Type / Status
Subject Lori Nichol E326222 entity
Predicate hasClient P734 FINISHED
Object Evan Lysacek E729923 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: Evan Lysacek | Statement: [Lori Nichol, hasClient, Evan Lysacek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Lysacek
Context triple: [Lori Nichol, hasClient, Evan Lysacek]
  • A. Evan Lysacek chosen
    Evan Lysacek is an American figure skater and 2010 Olympic champion known for his powerful, technically consistent performances and world-class competitive record.
  • B. Jamie Mazur
    Jamie Mazur is an American businessman best known for his long-term relationship with Brazilian supermodel Alessandra Ambrosio.
  • C. Johnny Weir
    Johnny Weir is an American former competitive figure skater and television commentator known for his artistic style on the ice and vibrant personality.
  • D. Nathan Chen
    Nathan Chen is an American figure skater and Olympic champion renowned for his technical mastery and multiple world titles in men's singles.
  • E. Yuzuru Hanyu
    Yuzuru Hanyu is a Japanese figure skater widely regarded as one of the greatest in history, known for his Olympic gold medals and groundbreaking technical and artistic performances.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:52 p.m.