Triple

T8270557
Position Surface form Disambiguated ID Type / Status
Subject Tara E193416 entity
Predicate notableBearer P458 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: [Tara, notableBearer, Tara Lipinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara Lipinski
Context triple: [Tara, notableBearer, 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. 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.
  • D. 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.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd683d04e081908b0ce81e866f0311 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.