Triple

T9381522
Position Surface form Disambiguated ID Type / Status
Subject Marc Gisin E225794 entity
Predicate sibling P363 FINISHED
Object Dominique Gisin E43784 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: Dominique Gisin | Statement: [Marc Gisin, sibling, Dominique Gisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique Gisin
Context triple: [Marc Gisin, sibling, Dominique Gisin]
  • A. Dominique Gisin chosen
    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.
  • B. Michelle Gisin
    Michelle Gisin is a Swiss alpine ski racer and Olympic champion known for her success in multiple World Cup disciplines.
  • C. Marie-José Clivaz
    Marie-José Clivaz is an educator and school leader best known for co-founding the international private school Collège du Léman in Switzerland.
  • D. Marc Gisin
    Marc Gisin is a Swiss former World Cup alpine ski racer known primarily as a speed specialist in downhill and super-G events.
  • E. Dominique Engerer
    Dominique Engerer was a renowned French classical pianist celebrated for her expressive interpretations and international concert career.
  • 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_69d14bdb000c81909b11b3bf2398bf0f completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:44 p.m.