Triple

T2875036
Position Surface form Disambiguated ID Type / Status
Subject Lasse Virén E56857 entity
Predicate givenName P17 FINISHED
Object Lasse
Lasse is a masculine given name of Scandinavian origin, particularly common in Finland and Sweden.
E305791 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: Lasse | Statement: [Lasse Virén, givenName, Lasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasse
Context triple: [Lasse Virén, givenName, Lasse]
  • A. Lars
    Lars is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • B. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • C. Axel
    Axel is a given name associated with the Finnish painter Akseli Gallen-Kallela, renowned for his depictions of the Kalevala and contributions to Finnish national romantic art.
  • D. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • E. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • 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: Lasse
Triple: [Lasse Virén, givenName, Lasse]
Generated description
Lasse is a masculine given name of Scandinavian origin, particularly common in Finland and Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lasse
Target entity description: Lasse is a masculine given name of Scandinavian origin, particularly common in Finland and Sweden.
  • A. Lars
    Lars is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • B. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • C. Axel
    Axel is a given name associated with the Finnish painter Akseli Gallen-Kallela, renowned for his depictions of the Kalevala and contributions to Finnish national romantic art.
  • D. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • E. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b0201470cc81909188573c3749dffb completed March 10, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69b020aa00888190a683a621f1e1a107 completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:03 p.m.