Triple

T20723952
Position Surface form Disambiguated ID Type / Status
Subject Erna Solberg E509387 entity
Predicate familyName P18 FINISHED
Object Solberg
Solberg is a Norwegian surname most prominently associated with Erna Solberg, the former Prime Minister of Norway.
E1447241 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: Solberg | Statement: [Erna Solberg, familyName, Solberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solberg
Context triple: [Erna Solberg, familyName, Solberg]
  • A. Petter Solberg
    Petter Solberg is a Norwegian rally driver and 2003 World Rally Champion, best known for his success in the World Rally Championship during the early 2000s.
  • B. Michele Solberg
    Michele Solberg is a musician best known for her past role as a member of the indie rock band Okkervil River.
  • C. Kalle Rovanperä
    Kalle Rovanperä is a Finnish rally driver and World Rally Champion known for becoming one of the youngest stars in the history of the World Rally Championship.
  • D. Alex Grönholm
    Alex Grönholm is a software developer and open-source contributor known for his work in the Python ecosystem, including authorship of PEP 503.
  • E. Johan Svendsen
    Johan Svendsen was a prominent Norwegian composer and conductor of the Romantic era, known especially for his orchestral works and contributions to Scandinavian music.
  • 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: Solberg
Triple: [Erna Solberg, familyName, Solberg]
Generated description
Solberg is a Norwegian surname most prominently associated with Erna Solberg, the former Prime Minister of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Solberg
Target entity description: Solberg is a Norwegian surname most prominently associated with Erna Solberg, the former Prime Minister of Norway.
  • A. Petter Solberg
    Petter Solberg is a Norwegian rally driver and 2003 World Rally Champion, best known for his success in the World Rally Championship during the early 2000s.
  • B. Michele Solberg
    Michele Solberg is a musician best known for her past role as a member of the indie rock band Okkervil River.
  • C. Kalle Rovanperä
    Kalle Rovanperä is a Finnish rally driver and World Rally Champion known for becoming one of the youngest stars in the history of the World Rally Championship.
  • D. Alex Grönholm
    Alex Grönholm is a software developer and open-source contributor known for his work in the Python ecosystem, including authorship of PEP 503.
  • E. Johan Svendsen
    Johan Svendsen was a prominent Norwegian composer and conductor of the Romantic era, known especially for his orchestral works and contributions to Scandinavian music.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e662f08190917ee043612d413e completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e0595d408190b9a8c2b063a83b5d completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e12d0d8c81909527575f628ec2d2 completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e1a7f16c8190af9a1dde4263e21d completed May 16, 2026, 9:29 p.m.
Created at: April 16, 2026, 12:28 p.m.