Triple

T21365687
Position Surface form Disambiguated ID Type / Status
Subject John A. Knebel E526905 entity
Predicate givenName P17 FINISHED
Object John
John A. Knebel is an American attorney and former government official who served as the United States Secretary of Agriculture under President Gerald Ford.
E1479471 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: [John A. Knebel, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John A. Knebel, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John Entwistle was the influential English bassist and songwriter best known as a founding member of the rock band The Who.
  • E. John
    John is the given name of John Romita Sr., the influential American comic book artist best known for his work on Marvel's The Amazing Spider-Man.
  • 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: [John A. Knebel, givenName, John]
Generated description
John A. Knebel is an American attorney and former government official who served as the United States Secretary of Agriculture under President Gerald Ford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John A. Knebel is an American attorney and former government official who served as the United States Secretary of Agriculture under President Gerald Ford.
  • A. John
    John Ashcroft is an American politician and lawyer who served as the 79th United States Attorney General under President George W. Bush.
  • B. John
    John is the given name of John Newton Mitchell, who served as U.S. Attorney General under President Richard Nixon and was a central figure in the Watergate scandal.
  • C. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • D. John
    John A. McCone was an American industrialist and government official who served as Director of Central Intelligence during the early 1960s, including the Cuban Missile Crisis.
  • E. John
    John is the given name of John R. Steelman, an American administrator who served as a key aide to President Harry S. Truman.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06ec4208190b9ed3484afd85852 completed April 22, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad5b7f80819098ad83e864fa556f completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae26d43881909c1e0a6a5e37a488 completed May 17, 2026, 12:01 p.m.
NED2 Entity disambiguation (via description) batch_6a09aeb3382c819088070f86c2d17b41 completed May 17, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:09 p.m.