Triple

T9381476
Position Surface form Disambiguated ID Type / Status
Subject Gisin E225794 entity
Predicate hasNotableBearer P458 FINISHED
Object Michelle Gisin E229326 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: Michelle Gisin | Statement: [Gisin, hasNotableBearer, Michelle Gisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Gisin
Context triple: [Gisin, hasNotableBearer, Michelle Gisin]
  • A. Michelle Gisin chosen
    Michelle Gisin is a Swiss alpine ski racer and Olympic champion known for her success in multiple World Cup disciplines.
  • B. Dominique Gisin
    Dominique Gisin is a Swiss alpine ski racer best known for winning the gold medal in the women's downhill at the 2014 Winter Olympics in Sochi.
  • C. Dominique Engerer
    Dominique Engerer was a renowned French classical pianist celebrated for her expressive interpretations and international concert career.
  • D. Denise Berthoud
    Denise Berthoud was a notable Swiss figure, likely recognized for significant cultural or public contributions that merited burial in Geneva’s prestigious Cimetière des Rois.
  • E. Corinne Schmidhauser
    Corinne Schmidhauser is a Swiss ice hockey player renowned for her standout performance at the international level, where she earned recognition as one of the top players in women’s hockey.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50be52248190bc7cd9deb95a1ef8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100ddec0c8190854fb5db36e840db completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.