Triple

T4362653
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Prime E98695 entity
Predicate setting P1957 FINISHED
Object Baslehurst
Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
 E440438 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: Baslehurst | Statement: [Mrs. Prime, setting, Baslehurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baslehurst
Context triple: [Mrs. Prime, setting, Baslehurst]
  • A. Speldhurst
    Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
  • B. Billingshurst
    Billingshurst is a large village and civil parish in the Horsham District of West Sussex, England, known for its historic High Street and role as a local residential and commercial centre.
  • C. Hawkhurst
    Hawkhurst is a historic village in Kent, England, known for its picturesque Wealden countryside setting and its association with the 18th-century Hawkhurst Gang of smugglers.
  • D. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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: Baslehurst
Triple: [Mrs. Prime, setting, Baslehurst]
Generated description
Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baslehurst
Target entity description: Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • A. Speldhurst
    Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
  • B. Billingshurst
    Billingshurst is a large village and civil parish in the Horsham District of West Sussex, England, known for its historic High Street and role as a local residential and commercial centre.
  • C. Hawkhurst
    Hawkhurst is a historic village in Kent, England, known for its picturesque Wealden countryside setting and its association with the 18th-century Hawkhurst Gang of smugglers.
  • D. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e5ee308190a9271e73689b4a2b completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b61352f8308190af30daeaae0bf0d6 completed March 15, 2026, 2:02 a.m.
NEDg Description generation batch_69b613f0d5dc8190a48e60c63ea9d717 completed March 15, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69b617f70f608190bce1043c2254c9e5 completed March 15, 2026, 2:22 a.m.
Created at: March 12, 2026, 11:16 p.m.