Triple

T4894803
Position Surface form Disambiguated ID Type / Status
Subject Ellen Aske E109649 entity
Predicate familyName P18 FINISHED
Object Aske
Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
 E479553 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: Aske | Statement: [Ellen Aske, familyName, Aske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aske
Context triple: [Ellen Aske, familyName, Aske]
  • A. Asker
    Asker is a municipality in Viken county, Norway, known for its coastal location near Oslo and its mix of residential areas, cultural sites, and natural landscapes.
  • B. Askeran
    Askeran is a town in the disputed Nagorno-Karabakh region of the South Caucasus, historically known for its strategic location and fortress.
  • C. Andselv
    Andselv is a small Norwegian village located in the Troms region, known for its position along the Andselva river and proximity to Bardufoss.
  • D. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • E. Askainen
    Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
  • 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: Aske
Triple: [Ellen Aske, familyName, Aske]
Generated description
Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aske
Target entity description: Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
  • A. Asker
    Asker is a municipality in Viken county, Norway, known for its coastal location near Oslo and its mix of residential areas, cultural sites, and natural landscapes.
  • B. Askeran
    Askeran is a town in the disputed Nagorno-Karabakh region of the South Caucasus, historically known for its strategic location and fortress.
  • C. Andselv
    Andselv is a small Norwegian village located in the Troms region, known for its position along the Andselva river and proximity to Bardufoss.
  • D. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • E. Askainen
    Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e26b6808190a84e3e8466f2b4e9 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc665e08190ae067746d6c19018 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be72aaca448190b7dc45d61d317a35 completed March 21, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69be732d2a708190bf44aeeb830e530e completed March 21, 2026, 10:30 a.m.
Created at: March 20, 2026, 1:28 p.m.