Triple

T3777851
Position Surface form Disambiguated ID Type / Status
Subject Bonnie Blair E83350 entity
Predicate name P16 FINISHED
Object Bonnie Blair E83350 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: Bonnie Blair | Statement: [Bonnie Blair, name, Bonnie Blair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Blair
Context triple: [Bonnie Blair, name, Bonnie Blair]
  • A. Bonnie Blair chosen
    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.
  • B. Michelle Kwan
    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.
  • C. Cindy Klassen
    Cindy Klassen is a Canadian long track speed skater and multiple Olympic medalist, widely regarded as one of Canada's greatest winter athletes.
  • 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. Nancy Kerrigan
    Nancy Kerrigan is an American former figure skater and Olympic medalist best known for her elite competitive career and her involvement in the 1994 attack scandal.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.