Triple

T12207532
Position Surface form Disambiguated ID Type / Status
Subject StyleGAN E290872 entity
Predicate introducedBy P513 FINISHED
Object Tero Karras
Tero Karras is a computer graphics and machine learning researcher known for pioneering work in generative adversarial networks, particularly the development of the StyleGAN architecture.
E971754 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: Tero Karras | Statement: [StyleGAN, introducedBy, Tero Karras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tero Karras
Context triple: [StyleGAN, introducedBy, Tero Karras]
  • A. Pekka Rantala
    Pekka Rantala is a Finnish business executive best known for his leadership roles in the mobile phone industry, including co-founding HMD Global, the company behind modern Nokia-branded phones.
  • B. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • C. Ahti Rahkola
    Ahti Rahkola is a Finnish former javelin thrower who competed internationally during the 1970s and 1980s.
  • D. Jukka Kola
    Jukka Kola is a Finnish academic and university leader who serves as the rector of the University of Turku.
  • E. Hannes Kolehmainen
    Hannes Kolehmainen was a Finnish long-distance running legend and multiple Olympic champion, regarded as one of the early greats of international athletics.
  • 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: Tero Karras
Triple: [StyleGAN, introducedBy, Tero Karras]
Generated description
Tero Karras is a computer graphics and machine learning researcher known for pioneering work in generative adversarial networks, particularly the development of the StyleGAN architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tero Karras
Target entity description: Tero Karras is a computer graphics and machine learning researcher known for pioneering work in generative adversarial networks, particularly the development of the StyleGAN architecture.
  • A. Pekka Rantala
    Pekka Rantala is a Finnish business executive best known for his leadership roles in the mobile phone industry, including co-founding HMD Global, the company behind modern Nokia-branded phones.
  • B. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • C. Ahti Rahkola
    Ahti Rahkola is a Finnish former javelin thrower who competed internationally during the 1970s and 1980s.
  • D. Jukka Kola
    Jukka Kola is a Finnish academic and university leader who serves as the rector of the University of Turku.
  • E. Hannes Kolehmainen
    Hannes Kolehmainen was a Finnish long-distance running legend and multiple Olympic champion, regarded as one of the early greats of international athletics.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9d2f0c81908352cd9f0167c6ab completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.