Triple

T18542761
Position Surface form Disambiguated ID Type / Status
Subject The City Heiress E453140 entity
Predicate hasCharacter P2308 FINISHED
Object Blandford
Blandford is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intrigues of love, inheritance, and political scheming.
E1331085 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: Blandford | Statement: [The City Heiress, hasCharacter, Blandford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blandford
Context triple: [The City Heiress, hasCharacter, Blandford]
  • A. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • B. Burford
    Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
  • C. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • D. Blandford Camp
    Blandford Camp is a British Army military base in Dorset, England, best known as the home of the Royal Corps of Signals and its training facilities.
  • E. Bottesford
    Bottesford is a village in Leicestershire, England, known for its historic parish church and rural setting near the River Devon.
  • 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: Blandford
Triple: [The City Heiress, hasCharacter, Blandford]
Generated description
Blandford is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intrigues of love, inheritance, and political scheming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blandford
Target entity description: Blandford is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intrigues of love, inheritance, and political scheming.
  • A. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • B. Burford
    Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
  • C. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • D. Blandford Camp
    Blandford Camp is a British Army military base in Dorset, England, best known as the home of the Royal Corps of Signals and its training facilities.
  • E. Bottesford
    Bottesford is a village in Leicestershire, England, known for its historic parish church and rural setting near the River Devon.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b80fc081908488417787d1b166 completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ad9d8108190b7251f293563a056 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049d1fabfc8190ade010ba5d2a2c1b completed May 13, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_6a049f83689c81908e02646a157c80d4 completed May 13, 2026, 3:57 p.m.
Created at: April 10, 2026, 11:38 a.m.