Triple

T20223973
Position Surface form Disambiguated ID Type / Status
Subject Nymphadora Tonks E495327 entity
Predicate occupation P3 FINISHED
Object Auror
An Auror is a highly trained dark-wizard catcher and elite law-enforcement officer in the Harry Potter universe, working for the Ministry of Magic to combat dark magic and its practitioners.
E1419414 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: Auror | Statement: [Nymphadora Tonks, occupation, Auror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auror
Context triple: [Nymphadora Tonks, occupation, Auror]
  • A. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • B. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • C. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • D. Aurora
    Aurora is a major suburban city in the Denver metropolitan area of Colorado, known for its diverse population, extensive parks and open spaces, and role as a key economic and residential hub on the eastern side of the metro region.
  • E. Aurora
    Aurora is a coastal province in the Philippines known for its Pacific shoreline, surfing spots like Baler, and lush mountainous landscapes.
  • 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: Auror
Triple: [Nymphadora Tonks, occupation, Auror]
Generated description
An Auror is a highly trained dark-wizard catcher and elite law-enforcement officer in the Harry Potter universe, working for the Ministry of Magic to combat dark magic and its practitioners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Auror
Target entity description: An Auror is a highly trained dark-wizard catcher and elite law-enforcement officer in the Harry Potter universe, working for the Ministry of Magic to combat dark magic and its practitioners.
  • A. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • B. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • C. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • D. Aurora
    Aurora is a major city in northeastern Illinois, known as a key suburb of Chicago and a regional center for industry, transportation, and technology.
  • E. Aurora
    Aurora is a major suburban city in the Denver metropolitan area of Colorado, known for its diverse population, extensive parks and open spaces, and role as a key economic and residential hub on the eastern side of the metro region.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd827708190b798a30f4e7d533f completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b866fc4819086521bb69505b674 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c6561ec8190b1eee3d94aeb5009 completed May 16, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_6a084d0ac2f881909be142d6b30cc9ec completed May 16, 2026, 10:55 a.m.
Created at: April 11, 2026, 11:39 p.m.