Triple

T13337278
Position Surface form Disambiguated ID Type / Status
Subject George, Crown Prince of Serbia E317728 entity
Predicate givenName P17 FINISHED
Object George
George, Crown Prince of Serbia, is a historical royal figure who was heir apparent to the Serbian throne in the early 20th century.
E1036075 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: [George, Crown Prince of Serbia, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George, Crown Prince of Serbia, givenName, George]
  • A. George
    George is the given first name of South African rugby union coach Kitch Christie, who led the Springboks to victory in the 1995 Rugby World Cup.
  • B. George
    George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
  • C. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • D. George
    George is the given name of George Ellery Hale, the influential American solar astronomer and founder of several major observatories.
  • E. George
    George is the given name of George Herbert, 5th Earl of Carnarvon, the British aristocrat who financed the excavation that uncovered Tutankhamun’s tomb.
  • 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: [George, Crown Prince of Serbia, givenName, George]
Generated description
George, Crown Prince of Serbia, is a historical royal figure who was heir apparent to the Serbian throne in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George, Crown Prince of Serbia, is a historical royal figure who was heir apparent to the Serbian throne in the early 20th century.
  • A. George
    George was the given name of George IV, a medieval king who ruled the Kingdom of Georgia.
  • B. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • C. George
    George is the eldest child of Prince William and Catherine, Princess of Wales, and second in line to the British throne.
  • D. George
    George is the given name of George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
  • E. George
    George is the given name of Lord Auckland, a British statesman and colonial administrator of the 19th century.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7267132488190a62930e98be70640 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f7270bf9308190a3e9427ffce0e3ee completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f727d063c4819084b4990a0d759f79 completed May 3, 2026, 10:47 a.m.
Created at: April 9, 2026, 9:31 p.m.