Triple

T17032476
Position Surface form Disambiguated ID Type / Status
Subject Turku Art Museum E413232 entity
Predicate designedBy P184 FINISHED
Object Gustaf Nyström
Gustaf Nyström was a prominent Finnish architect and professor known for shaping late 19th- and early 20th-century Finnish public architecture.
E1252684 NE FINISHED

How this triple was built (4 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: Gustaf Nyström | Statement: [Turku Art Museum, designedBy, Gustaf Nyström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustaf Nyström
Context triple: [Turku Art Museum, designedBy, Gustaf Nyström]
  • A. Gustaf Lindström
    Gustaf Lindström is a notable individual who shares the Swedish surname Lindström, recognized among its prominent bearers.
  • B. Hjalmar Nyström
    Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
  • C. Vilhelm Blomgren
    Vilhelm Blomgren is a Swedish actor best known internationally for his role in Ari Aster’s folk horror film "Midsommar."
  • D. Olof Wihlborg
    Olof Wihlborg was a designer or craftsman known for creating the modern Royal Crown of Norway.
  • E. Ernst Löfström
    Ernst Löfström was a Finnish military officer best known for his leadership role during the Finnish Civil War, particularly in major engagements such as the Battle of Tampere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gustaf Nyström
Triple: [Turku Art Museum, designedBy, Gustaf Nyström]
Generated description
Gustaf Nyström was a prominent Finnish architect and professor known for shaping late 19th- and early 20th-century Finnish public architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gustaf Nyström
Target entity description: Gustaf Nyström was a prominent Finnish architect and professor known for shaping late 19th- and early 20th-century Finnish public architecture.
  • A. Gustaf Lindström
    Gustaf Lindström is a notable individual who shares the Swedish surname Lindström, recognized among its prominent bearers.
  • B. Hjalmar Nyström
    Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
  • C. Vilhelm Blomgren
    Vilhelm Blomgren is a Swedish actor best known internationally for his role in Ari Aster’s folk horror film "Midsommar."
  • D. Olof Wihlborg
    Olof Wihlborg was a designer or craftsman known for creating the modern Royal Crown of Norway.
  • E. Ernst Löfström
    Ernst Löfström was a Finnish military officer best known for his leadership role during the Finnish Civil War, particularly in major engagements such as the Battle of Tampere.
  • F. None of above. chosen

Provenance (5 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8ed79448190a750a29a99913fda completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413cc6f08190ae83a0c98fb96b90 completed May 11, 2026, 2:38 a.m.
NEDg Description generation batch_6a014218d0cc81909c1b1b4c11484364 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a01427ce5d08190b383ea907ca3352e completed May 11, 2026, 2:44 a.m.
Created at: April 10, 2026, 5:33 a.m.