Triple

T20666637
Position Surface form Disambiguated ID Type / Status
Subject Peter Penry-Jones E507904 entity
Predicate hasPartInName P5298 FINISHED
Object Jones
Jones is a common English surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and literature.
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: [Peter Penry-Jones, hasPartInName, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [Peter Penry-Jones, hasPartInName, Jones]
  • A. John
    John is the middle name of James J. Davis, a prominent early 20th-century American politician and U.S. Secretary of Labor.
  • B. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • C. John
    John is the first name of Jack Graney, a Canadian Major League Baseball player and later a pioneering baseball broadcaster.
  • D. John
    John is the given name of American novelist and historical fiction writer John Jakes, best known for his sprawling family sagas set during pivotal periods of U.S. history.
  • E. John
    John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
  • 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: [Peter Penry-Jones, hasPartInName, Jones]
Generated description
Jones is a common English surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jones
Target entity description: Jones is a common English surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and literature.
  • 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. Jones
    Jones is a municipality in the Philippine province of Isabela, known primarily for its agricultural economy and rural communities.
  • C. Jones
    Jones is a central character in China Miéville’s fantasy novel "Un Lun Dun," playing a key role in the protagonists’ journey through the bizarre alternate city.
  • D. John
    John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
  • E. John
    John is the given name of John Buford, a notable Union cavalry officer in the American Civil War.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5fc3e081909087414333b2615e completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.