Triple

T9082402
Position Surface form Disambiguated ID Type / Status
Subject Gallén E217664 entity
Predicate hasVariant P455 FINISHED
Object Gallen E217664 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: Gallen | Statement: [Gallén, hasVariant, Gallen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallen
Context triple: [Gallén, hasVariant, Gallen]
  • A. Gallén chosen
    Gallén is the original family surname of Finnish painter Akseli Gallen-Kallela, a key figure in Finland’s national romantic art movement.
  • B. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • C. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • D. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • E. Lindauer
    Lindauer is a German surname borne by various notable individuals across fields such as science, art, and public life.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960a2760819084aab611eb1c43a9 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe30093481908b3ec394cf585642 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.