Triple

T8616366
Position Surface form Disambiguated ID Type / Status
Subject Koloman Moser E204048 entity
Predicate alternateName P39 FINISHED
Object Kolo Moser
Kolo Moser was an influential Austrian artist and designer associated with the Vienna Secession, known for his pioneering work in graphic design, decorative arts, and early modernist aesthetics.
 E745521 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: Kolo Moser | Statement: [Koloman Moser, alternateName, Kolo Moser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolo Moser
Context triple: [Koloman Moser, alternateName, Kolo Moser]
  • A. Viktorka
    Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
  • B. Pölzl
    Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
  • C. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • D. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • E. Maufe
    Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
  • 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: Kolo Moser
Triple: [Koloman Moser, alternateName, Kolo Moser]
Generated description
Kolo Moser was an influential Austrian artist and designer associated with the Vienna Secession, known for his pioneering work in graphic design, decorative arts, and early modernist aesthetics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolo Moser
Target entity description: Kolo Moser was an influential Austrian artist and designer associated with the Vienna Secession, known for his pioneering work in graphic design, decorative arts, and early modernist aesthetics.
  • A. Viktorka
    Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
  • B. Pölzl
    Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
  • C. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • D. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • E. Maufe
    Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4703b57c81909511de72fa5c38d7 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea923ae148190a973ef8ad6ccac9a completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9d23cc88190b937e89b9aa2bd66 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaaed65a4819083b6a30baa2c0b97 completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.