Triple

T9344942
Position Surface form Disambiguated ID Type / Status
Subject Richard Callaghan E224863 entity
Predicate notableStudent P4838 FINISHED
Object Tara Lipinski E37971 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: Tara Lipinski | Statement: [Richard Callaghan, notableStudent, Tara Lipinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara Lipinski
Context triple: [Richard Callaghan, notableStudent, Tara Lipinski]
  • A. Tara Lipinski chosen
    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.
  • B. Sarah Hughes
    Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
  • C. Kristi Yamaguchi
    Kristi Yamaguchi is an American figure skater and 1992 Olympic gold medalist renowned for her artistry and technical skill on the ice.
  • D. 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.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078635648190ac908fd6bd7228b0 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:41 p.m.