Triple

T15292118
Position Surface form Disambiguated ID Type / Status
Subject Sir John Cass E365552 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Cass, a prominent 17th–18th century English merchant, politician, and philanthropist known for his charitable work in education.
E1149388 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: John | Statement: [Sir John Cass, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Cass, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • D. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: John
Triple: [Sir John Cass, givenName, John]
Generated description
John is the given name of Sir John Cass, a prominent 17th–18th century English merchant, politician, and philanthropist known for his charitable work in education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Cass, a prominent 17th–18th century English merchant, politician, and philanthropist known for his charitable work in education.
  • A. John
    John is the given name of Sir John Eliot, a prominent 17th-century English politician and leading parliamentary critic of King Charles I.
  • B. John
    John is the given name of the British mathematician J. W. S. Cassels, known for his influential work in number theory and Diophantine approximation.
  • C. John
    John is the given name of John Churchill, 1st Duke of Marlborough, the renowned English general and statesman of the late 17th and early 18th centuries.
  • D. John
    John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
  • E. John
    John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef899e55c8190b1c26491bf37967a completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9ed514081909a54da584dff7e5c completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa72f9cc819089550217ea7c7d6e completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:15 a.m.