Triple

T9131757
Position Surface form Disambiguated ID Type / Status
Subject Jasper Pääkkönen E219102 entity
Predicate name P16 FINISHED
Object Jasper Pääkkönen E219102 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: Jasper Pääkkönen | Statement: [Jasper Pääkkönen, name, Jasper Pääkkönen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper Pääkkönen
Context triple: [Jasper Pääkkönen, name, Jasper Pääkkönen]
  • A. Jasper Pääkkönen chosen
    Jasper Pääkkönen is a Finnish actor known internationally for roles in films like "Da 5 Bloods" and the TV series "Vikings."
  • B. Jukka Jalonen
    Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
  • C. Juho Rissanen
    Juho Rissanen was a Finnish painter known for his depictions of everyday working-class life and his role in early 20th-century Finnish art.
  • D. 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.
  • E. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d14bc281688190b65b8224b70f08d7 completed April 4, 2026, 5:34 p.m.
Created at: March 30, 2026, 7:18 p.m.