Triple

T18057816
Position Surface form Disambiguated ID Type / Status
Subject Harriet Bosse E432084 entity
Predicate familyName P18 FINISHED
Object Bosse
Bosse is a surname most notably associated with Harriet Bosse, a Norwegian-Swedish actress known for her work in early 20th-century Scandinavian theatre and film.
 E1304274 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: Bosse | Statement: [Harriet Bosse, familyName, Bosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bosse
Context triple: [Harriet Bosse, familyName, Bosse]
  • A. Ten Bosse
    Ten Bosse is a notable hill in Belgium, known primarily as a climb featured in regional cycling routes and races.
  • B. Bosson
    Bosson is a surname most notably associated with American actress Barbara Bosson, known for her roles in television dramas such as "Hill Street Blues."
  • C. Bossòst
    Bossòst is a village in the Val d’Aran region of Catalonia, Spain, known for its Pyrenean mountain setting and Romanesque heritage.
  • D. Boger
    Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
  • E. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • 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: Bosse
Triple: [Harriet Bosse, familyName, Bosse]
Generated description
Bosse is a surname most notably associated with Harriet Bosse, a Norwegian-Swedish actress known for her work in early 20th-century Scandinavian theatre and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bosse
Target entity description: Bosse is a surname most notably associated with Harriet Bosse, a Norwegian-Swedish actress known for her work in early 20th-century Scandinavian theatre and film.
  • A. Ten Bosse
    Ten Bosse is a notable hill in Belgium, known primarily as a climb featured in regional cycling routes and races.
  • B. Bosson
    Bosson is a surname most notably associated with American actress Barbara Bosson, known for her roles in television dramas such as "Hill Street Blues."
  • C. Bossòst
    Bossòst is a village in the Val d’Aran region of Catalonia, Spain, known for its Pyrenean mountain setting and Romanesque heritage.
  • D. Boger
    Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
  • E. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c103cedc819086a905269b118795 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03566907988190aef2b0ceb2c9f4dc completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03591fa4cc819084d1e50b7e5263cf completed May 12, 2026, 4:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0359a3ead48190996d95ad5aaa2302 completed May 12, 2026, 4:47 p.m.
Created at: April 10, 2026, 10:26 a.m.