Triple

T14380423
Position Surface form Disambiguated ID Type / Status
Subject Russell Tyrone Jones E356584 entity
Predicate hasFamilyName P18 FINISHED
Object Jones
Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
E46350 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: Jones | Statement: [Russell Tyrone Jones, hasFamilyName, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [Russell Tyrone Jones, hasFamilyName, Jones]
  • A. John
    John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
  • B. John
    John G. Heyburn II was a United States federal judge who served on the U.S. District Court for the Western District of Kentucky.
  • C. John
    John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the middle name of Alexander John Buckley Ford.
  • 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: Jones
Triple: [Russell Tyrone Jones, hasFamilyName, Jones]
Generated description
Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jones
Target entity description: Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • A. Jones chosen
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • B. John
    John is the given name of the British philosopher of language J. L. Austin, known for developing speech act theory.
  • C. John
    John is the given name of Saint John of Rila, a revered Bulgarian hermit and the most prominent saint of the Bulgarian Orthodox Church.
  • D. John
    John is the given name of John Philip Holland, the Irish engineer known for developing some of the first practical submarines.
  • E. John
    John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5511c9e4819089dcbf089ca0dc6a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671340081909d87978be2a5522b completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:16 a.m.