Triple
T12370081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive GAN |
E294977
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Tero Karras |
E971754
|
NE FINISHED |
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: Tero Karras | Statement: [Progressive GAN, introducedBy, Tero Karras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tero Karras Context triple: [Progressive GAN, introducedBy, Tero Karras]
-
A.
Tero Karras
chosen
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.
-
B.
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.
-
C.
Taneli Kekkonen
Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
-
D.
Ahti Rahkola
Ahti Rahkola is a Finnish former javelin thrower who competed internationally during the 1970s and 1980s.
-
E.
Jukka Kola
Jukka Kola is a Finnish academic and university leader who serves as the rector of the University of Turku.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b926c5c81909427eb191ae75ec6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.