Triple

T14737242
Position Surface form Disambiguated ID Type / Status
Subject Carl Lindhagen E346244 entity
Predicate familyName P18 FINISHED
Object Lindhagen
Lindhagen is a Swedish surname most notably associated with the politician and social reformer Carl Lindhagen.
E1117578 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: Lindhagen | Statement: [Carl Lindhagen, familyName, Lindhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindhagen
Context triple: [Carl Lindhagen, familyName, Lindhagen]
  • A. Lindesberg
    Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
  • B. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • C. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • D. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • E. Vingåker
    Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
  • 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: Lindhagen
Triple: [Carl Lindhagen, familyName, Lindhagen]
Generated description
Lindhagen is a Swedish surname most notably associated with the politician and social reformer Carl Lindhagen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lindhagen
Target entity description: Lindhagen is a Swedish surname most notably associated with the politician and social reformer Carl Lindhagen.
  • A. Lindesberg
    Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
  • B. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • C. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • D. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • E. Vingåker
    Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb90378481909a3083680f11101c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0105fe8081909be6d790ba18693c completed May 8, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69fe01668bd88190a1db045fdad514ba completed May 8, 2026, 3:29 p.m.
Created at: April 10, 2026, 1:29 a.m.