Triple

T22653290
Position Surface form Disambiguated ID Type / Status
Subject Anne Lindboe E559150 entity
Predicate familyName P18 FINISHED
Object Lindboe
Lindboe is a Norwegian surname associated with several notable figures in fields such as medicine, law, and public service.
E1547737 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: Lindboe | Statement: [Anne Lindboe, familyName, Lindboe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindboe
Context triple: [Anne Lindboe, familyName, Lindboe]
  • A. Storsand
    Storsand is a locality or area situated within the municipality of Hurum in Norway.
  • B. Danviken
    Danviken is a small bay and historic inlet in Stockholm, Sweden, known for its industrial and maritime heritage.
  • C. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • D. Vereide
    Vereide is a small village in Gloppen Municipality in Vestland county, Norway, known for its scenic fjordside location and historic church.
  • E. Sollentuna
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • 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: Lindboe
Triple: [Anne Lindboe, familyName, Lindboe]
Generated description
Lindboe is a Norwegian surname associated with several notable figures in fields such as medicine, law, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lindboe
Target entity description: Lindboe is a Norwegian surname associated with several notable figures in fields such as medicine, law, and public service.
  • A. Storsand
    Storsand is a locality or area situated within the municipality of Hurum in Norway.
  • B. Danviken
    Danviken is a small bay and historic inlet in Stockholm, Sweden, known for its industrial and maritime heritage.
  • C. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • D. Vereide
    Vereide is a small village in Gloppen Municipality in Vestland county, Norway, known for its scenic fjordside location and historic church.
  • E. Sollentuna
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17659e4dc81909cf6943c1c986ef9 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b58689074819081320f1e92e4bd8f completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5e95ec81909197b2dbca88d7df completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7032e5f48190ada4ef53a71716a6 completed May 18, 2026, 8:01 p.m.
Created at: April 17, 2026, 3:06 p.m.