Triple

T9728765
Position Surface form Disambiguated ID Type / Status
Subject Andreas Norlén E235682 entity
Predicate name P16 FINISHED
Object Andreas Norlén E235682 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: Andreas Norlén | Statement: [Andreas Norlén, name, Andreas Norlén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Norlén
Context triple: [Andreas Norlén, name, Andreas Norlén]
  • A. Andreas Norlén chosen
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • B. Anders Hagfeldt
    Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
  • C. Niclas Sahlgren
    Niclas Sahlgren was an 18th-century Swedish merchant and philanthropist whose significant charitable contributions to healthcare and education led to major institutions, including Sahlgrenska University Hospital, bearing his name.
  • D. Mikael Lindfelt
    Mikael Lindfelt is a Finnish academic who serves as the rector (president) of Åbo Akademi University, a Swedish-language university in Finland.
  • E. Andreas Nilsson
    Andreas Nilsson is a Swedish film and music video director known for his surreal, darkly humorous visual style in videos for prominent international artists.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eafa3a88190bc62924d94b89cd8 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afba5ec081908044a4aefdc6f9ee completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.