Triple

T9508340
Position Surface form Disambiguated ID Type / Status
Subject Michelle Gisin E229326 entity
Predicate notableRelative P367 FINISHED
Object Marc Gisin E804068 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: Marc Gisin | Statement: [Michelle Gisin, notableRelative, Marc Gisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Gisin
Context triple: [Michelle Gisin, notableRelative, Marc Gisin]
  • A. Marc Gisin chosen
    Marc Gisin is a Swiss former World Cup alpine ski racer known primarily as a speed specialist in downhill and super-G events.
  • B. Jürg Marmet
    Jürg Marmet was a Swiss mountaineer best known as one of the first Swiss climbers to reach the summit of Mount Everest during the 1956 expedition.
  • C. Daniel Baud-Bovy
    Daniel Baud-Bovy was a Swiss writer and mountaineer known for his pioneering climbs and contributions to the cultural and literary life of early 20th-century Switzerland.
  • D. Michelle Gisin
    Michelle Gisin is a Swiss alpine ski racer and Olympic champion known for her success in multiple World Cup disciplines.
  • E. Sandro Wüthrich
    Sandro Wüthrich is an individual notable enough to be recognized as a namesake of the surname Wüthrich.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9855c5e48190a7d8d39b6d601679 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f5cd12881909fb1524a972448ee completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 7:57 p.m.