Triple

T22368262
Position Surface form Disambiguated ID Type / Status
Subject Pfister E552968 entity
Predicate hasVariant P455 FINISHED
Object Pister NE NERFINISHED

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: Pister | Statement: [Pfister, hasVariant, Pister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pister
Context triple: [Pfister, hasVariant, Pister]
  • A. Pister chosen
    Pister is a German surname most notably borne by Hermann Pister, a Nazi SS officer and commandant of the Buchenwald concentration camp.
  • B. Bovenistier
    Bovenistier is a village in the municipality of Waremme in the province of Liège, Belgium.
  • C. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • D. Sixten
    Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • E. Pertisau
    Pertisau is a picturesque village in the Austrian Tyrol, known as a popular holiday resort and gateway to the surrounding mountains and lakes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.