Triple

T18478288
Position Surface form Disambiguated ID Type / Status
Subject Otmar Hasler E451489 entity
Predicate precededBy P97 FINISHED
Object Mario Frick E47237 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: Mario Frick | Statement: [Otmar Hasler, precededBy, Mario Frick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Frick
Context triple: [Otmar Hasler, precededBy, Mario Frick]
  • A. Mario Frick chosen
    Mario Frick is a Liechtensteiner politician who served as Prime Minister of Liechtenstein from 1993 to 2001.
  • B. Max Rostal
    Max Rostal was a prominent 20th-century violinist and influential pedagogue known for his interpretations of classical and contemporary repertoire and his extensive teaching career in Europe.
  • C. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • D. Michael Koman
    Michael Koman is an American comedy writer and producer known for his work on shows like "Late Night with Conan O'Brien" and "Nathan for You."
  • E. Bernie Kukar
    Bernie Kukar is a former NFL official best known for serving as the referee in multiple Super Bowls during his long officiating 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53064a7548190b712a14ad0c7a477 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f2cada88190991e2e7b0d55de58 completed May 13, 2026, 9:06 a.m.
Created at: April 10, 2026, 11:35 a.m.