Triple

T15881316
Position Surface form Disambiguated ID Type / Status
Subject Wilson Lumpkin E385080 entity
Predicate givenName P17 FINISHED
Object Wilson
Wilson is a masculine given name of English origin that has been borne by numerous notable figures in politics, sports, and the arts.
E1015091 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: Wilson | Statement: [Wilson Lumpkin, givenName, Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson
Context triple: [Wilson Lumpkin, givenName, Wilson]
  • A. John
    John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
  • B. John
    John Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
  • C. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • D. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • E. John
    John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
  • 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: Wilson
Triple: [Wilson Lumpkin, givenName, Wilson]
Generated description
Wilson is a masculine given name of English origin that has been borne by numerous notable figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilson
Target entity description: Wilson is a masculine given name of English origin that has been borne by numerous notable figures in politics, sports, and the arts.
  • A. Wilson chosen
    Wilson is a masculine given name of English origin commonly used in English-speaking countries.
  • B. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • C. Wilson
    Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
  • D. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • E. Wilson
    Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156160a208190b30da2426411ee98 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa4fd9688190ba44555bd40f6442 completed May 9, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69ffab2fdd1c81909439f11ff798c168 completed May 9, 2026, 9:46 p.m.
Created at: April 10, 2026, 4:51 a.m.