Triple

T9480632
Position Surface form Disambiguated ID Type / Status
Subject Georgina Kirrin E228626 entity
Predicate nickname P55 FINISHED
Object George
George is the brave, tomboyish girl from Enid Blyton’s Famous Five series, known for her fierce independence and love of adventure.
 E644608 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: George | Statement: [Georgina Kirrin, nickname, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [Georgina Kirrin, nickname, George]
  • A. George
    George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
  • B. George
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking and many other cultures.
  • C. George
    George is the given name of the Hero of Manila Bay, most famously associated with U.S. Admiral George Dewey, who led the decisive naval victory at the Battle of Manila Bay during the Spanish–American War.
  • D. George
    George is the given first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
  • E. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • 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: George
Triple: [Georgina Kirrin, nickname, George]
Generated description
George is the brave, tomboyish girl from Enid Blyton’s Famous Five series, known for her fierce independence and love of adventure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the brave, tomboyish girl from Enid Blyton’s Famous Five series, known for her fierce independence and love of adventure.
  • A. George chosen
    George is one of the adventurous child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and strong-willed independence.
  • B. George
    George is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and love of adventure.
  • C. George
    George is one of the main child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and love of adventure.
  • D. George
    George is one of the central child detectives in Enid Blyton’s classic Secret Seven mystery series.
  • E. George
    George is the young, curious protagonist of Lucy and Stephen Hawking’s children’s science-adventure book series, where he explores the universe and big scientific ideas.
  • F. None of above.

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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8018645c8190823d82a93635b345 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce01b548190a30f6cc7f3084b06 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d130c9c89c819080fa98e149a512a9 completed April 4, 2026, 3:39 p.m.
NED2 Entity disambiguation (via description) batch_69d1311c105c8190b94f4ffa348c6b59 completed April 4, 2026, 3:41 p.m.
Created at: March 30, 2026, 7:54 p.m.