Triple

T4779708
Position Surface form Disambiguated ID Type / Status
Subject Marit Slagsvold E106142 entity
Predicate familyName P18 FINISHED
Object Slagsvold
Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
 E470620 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: Slagsvold | Statement: [Marit Slagsvold, familyName, Slagsvold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slagsvold
Context triple: [Marit Slagsvold, familyName, Slagsvold]
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • D. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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: Slagsvold
Triple: [Marit Slagsvold, familyName, Slagsvold]
Generated description
Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slagsvold
Target entity description: Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • D. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd658a86288190bc80651840ce6b18 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43cecc748190a410c262aa2e4b98 completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be45b95ab48190b5d8b84c56b1a0ac completed March 21, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69be46e400cc8190aaa7fc42713f30c6 completed March 21, 2026, 7:21 a.m.
Created at: March 20, 2026, 1:21 p.m.