Triple

T15727065
Position Surface form Disambiguated ID Type / Status
Subject Fiser E381243 entity
Predicate hasSpellingVariant P457 FINISHED
Object Fišer E381243 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: Fišer | Statement: [Fiser, hasSpellingVariant, Fišer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fišer
Context triple: [Fiser, hasSpellingVariant, Fišer]
  • A. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • B. Fischer
    Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
  • C. Fiser chosen
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Fischer Scherz
    Fischer Scherz is a German publishing imprint of S. Fischer Verlag, known for its popular fiction and crime literature titles.
  • E. Finikas
    Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9092e25c81909f86a580e78ff7ca completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:46 a.m.