Triple

T14956201
Position Surface form Disambiguated ID Type / Status
Subject Nancy Kerrigan E372933 entity
Predicate name P16 FINISHED
Object Nancy Kerrigan E372933 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: Nancy Kerrigan | Statement: [Nancy Kerrigan, name, Nancy Kerrigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Kerrigan
Context triple: [Nancy Kerrigan, name, Nancy Kerrigan]
  • A. Nancy Kerrigan chosen
    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.
  • B. Tonya Harding
    Tonya Harding is a former American figure skater best known for her involvement in the 1994 attack on rival Nancy Kerrigan and for being the subject of the biographical film "I, Tonya."
  • 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. Tara Lipinski
    Tara Lipinski is an American figure skater who became the youngest Olympic ladies' singles champion in history when she won gold at the 1998 Winter Games.
  • E. 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.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9e74fc8190bdd10a25c39829f3 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.