Triple

T15460011
Position Surface form Disambiguated ID Type / Status
Subject Laustsen E371872 entity
Predicate derivedFromGivenName P17 FINISHED
Object Laust
Laust is a Scandinavian masculine given name, particularly used in Denmark, that originates as a form of Laurentius (Lawrence).
 E1157489 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: Laust | Statement: [Laustsen, derivedFromGivenName, Laust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laust
Context triple: [Laustsen, derivedFromGivenName, Laust]
  • A. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • B. Laustsen
    Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
  • C. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • D. Lautoka
    Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
  • E. Lindfors
    Lindfors is a Swedish-origin surname borne by various notable individuals in the arts, sports, and public life.
  • 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: Laust
Triple: [Laustsen, derivedFromGivenName, Laust]
Generated description
Laust is a Scandinavian masculine given name, particularly used in Denmark, that originates as a form of Laurentius (Lawrence).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laust
Target entity description: Laust is a Scandinavian masculine given name, particularly used in Denmark, that originates as a form of Laurentius (Lawrence).
  • A. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • B. Laustsen
    Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
  • C. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • D. Lautoka
    Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
  • E. Lindfors
    Lindfors is a Swedish-origin surname borne by various notable individuals in the arts, sports, and public life.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b9817c819082e5c571b08bafb5 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff2299ac9481909ad213ff5bb01db3 completed May 9, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff2325e6a48190bee256ef8720ba8e completed May 9, 2026, 12:05 p.m.
Created at: April 10, 2026, 3:32 a.m.