Triple

T23384328
Position Surface form Disambiguated ID Type / Status
Subject Millesgården Foundation E593834 entity
Predicate associatedWith P37 FINISHED
Object Carl Milles 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: Carl Milles | Statement: [Millesgården Foundation, associatedWith, Carl Milles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Milles
Context triple: [Millesgården Foundation, associatedWith, Carl Milles]
  • A. Carl Milles chosen
    Carl Milles was a renowned Swedish sculptor known for his expressive, often monumental public artworks and fountains displayed in prominent locations in Sweden and abroad.
  • B. Adolph Tidemand
    Adolph Tidemand was a 19th-century Norwegian painter renowned for his detailed depictions of rural life and national romantic themes.
  • C. Ludvig Andersson
    Ludvig Andersson is a Swedish music producer and musician, known for his work in film and theatre music and for being the son of ABBA member Benny Andersson.
  • D. Hugo Zorn
    Hugo Zorn is a fictional character from the 1959 circus-themed film "The Big Circus."
  • E. Emanuel Vigeland
    Emanuel Vigeland was a Norwegian artist best known for his evocative church frescoes, stained glass work, and the unique mausoleum-museum he created in Oslo.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:34 p.m.