Triple

T22413027
Position Surface form Disambiguated ID Type / Status
Subject Lynn Ahrens E554039 entity
Predicate familyName P18 FINISHED
Object Ahrens
Ahrens is a German-origin surname borne by various notable individuals in fields such as the arts, sports, and academia.
 E1535303 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: Ahrens | Statement: [Lynn Ahrens, familyName, Ahrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ahrens
Context triple: [Lynn Ahrens, familyName, Ahrens]
  • A. Arende
    Arende is a South African television drama series set during the Anglo-Boer War, known for its portrayal of the conflict between Boer prisoners and British forces.
  • B. Arnesson
    Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
  • C. Ahrendts
    Ahrendts is the surname of Angela Ahrendts, the American business executive known for leading Burberry and serving as Apple’s Senior Vice President of Retail.
  • D. Ascherson
    Ascherson is a surname most notably associated with British actress Renée Asherson.
  • E. Schafer
    Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • 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: Ahrens
Triple: [Lynn Ahrens, familyName, Ahrens]
Generated description
Ahrens is a German-origin surname borne by various notable individuals in fields such as the arts, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ahrens
Target entity description: Ahrens is a German-origin surname borne by various notable individuals in fields such as the arts, sports, and academia.
  • A. Arende
    Arende is a South African television drama series set during the Anglo-Boer War, known for its portrayal of the conflict between Boer prisoners and British forces.
  • B. Arnesson
    Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
  • C. Ahrendts
    Ahrendts is the surname of Angela Ahrendts, the American business executive known for leading Burberry and serving as Apple’s Senior Vice President of Retail.
  • D. Ascherson
    Ascherson is a surname most notably associated with British actress Renée Asherson.
  • E. Schafer
    Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594496348190ba25dc0193d092f2 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e692648190b9f2f12746784ae0 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af21ecc28819087be6725ee690cd7 completed May 18, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0af27b5cf881908040ca87bc64177f completed May 18, 2026, 11:05 a.m.
Created at: April 16, 2026, 8:46 p.m.