Triple

T13845111
Position Surface form Disambiguated ID Type / Status
Subject Mabel Jones E332780 entity
Predicate hasLastName P18 FINISHED
Object Jones
Jones is a common English surname borne by numerous notable figures 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: [Mabel Jones, hasLastName, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [Mabel Jones, hasLastName, Jones]
  • A. John
    John is the given name of Sir John Colborne, a British Army officer and colonial administrator who served as Lieutenant Governor of Upper Canada and later as Lord Seaton.
  • B. John
    John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
  • C. John
    John is the given name of Sir John Byron, an English nobleman and Royalist commander during the English Civil War.
  • D. John
    John is the first name of American college football coach Jimbo Fisher, known for leading Florida State University to a national championship.
  • E. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • 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: [Mabel Jones, hasLastName, Jones]
Generated description
Jones is a common English surname borne by numerous notable figures 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 borne by numerous notable figures 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. John
    John is the given name of Sir John Colborne, a British Army officer and colonial administrator who served as Lieutenant Governor of Upper Canada and later as Lord Seaton.
  • C. John
    John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
  • D. John
    John is the given name of Sir John Byron, an English nobleman and Royalist commander during the English Civil War.
  • E. John
    John is the given name of John Conway, an Irish footballer born in 1948 who played as a winger.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ef9e7c8190b96c2b83d04708e1 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c20da9448190b3167b091bd39b94 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c2cc63148190b9ca2828abe54286 completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:13 p.m.