Triple

T5317741
Position Surface form Disambiguated ID Type / Status
Subject Kingdom E121591 entity
Predicate hasCharacter P2308 FINISHED
Object Beatrice Kingdom
Beatrice Kingdom is a fictional character named Beatrice who appears in the work or setting associated with the Kingdom universe.
 E510553 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: Beatrice Kingdom | Statement: [Kingdom, hasCharacter, Beatrice Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beatrice Kingdom
Context triple: [Kingdom, hasCharacter, Beatrice Kingdom]
  • A. Beatrix
    Beatrix is the first name of the beloved English author and illustrator Beatrix Potter, famed for creating classic children's tales such as "The Tale of Peter Rabbit."
  • B. Beatrix
    Beatrix is the former Queen of the Netherlands who reigned from 1980 until her abdication in 2013.
  • C. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • D. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • E. Isabella
    Isabella was an English princess of the 13th century, daughter of King John of England, who became Lady de Coucy through marriage into the French nobility.
  • 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: Beatrice Kingdom
Triple: [Kingdom, hasCharacter, Beatrice Kingdom]
Generated description
Beatrice Kingdom is a fictional character named Beatrice who appears in the work or setting associated with the Kingdom universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beatrice Kingdom
Target entity description: Beatrice Kingdom is a fictional character named Beatrice who appears in the work or setting associated with the Kingdom universe.
  • A. Beatrix
    Beatrix is the first name of the beloved English author and illustrator Beatrix Potter, famed for creating classic children's tales such as "The Tale of Peter Rabbit."
  • B. Beatrix
    Beatrix is the former Queen of the Netherlands who reigned from 1980 until her abdication in 2013.
  • C. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • D. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • E. Isabella
    Isabella was an English princess of the 13th century, daughter of King John of England, who became Lady de Coucy through marriage into the French nobility.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1111f104819094d7646dec32fad2 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a601c481908a8cb6ea2c04d6df completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf127799208190a47580ed7b9ad550 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:59 p.m.