Triple

T12508121
Position Surface form Disambiguated ID Type / Status
Subject Civil Air Patrol E299003 entity
Predicate foundedBy P104 FINISHED
Object Thomas H. Beck
Thomas H. Beck was an American magazine publisher and civic leader best known for helping establish the Civil Air Patrol during World War II.
 E1453282 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: Thomas H. Beck | Statement: [Civil Air Patrol, foundedBy, Thomas H. Beck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas H. Beck
Context triple: [Civil Air Patrol, foundedBy, Thomas H. Beck]
  • A. James B. Beck
    James B. Beck was a 19th-century Scottish-born American politician who served as a U.S. Representative and Senator from Kentucky.
  • B. John M. Bevan
    John M. Bevan was an American educator best known for founding Eckerd College in Florida.
  • C. William S. Beasley
    William S. Beasley is a television producer best known for his work on the classic 1970s cop series "Starsky & Hutch."
  • D. Charles R. Boling
    Charles R. Boling was a prominent supporter and benefactor of the University of Tennessee whose contributions led to the major campus venue Thompson–Boling Arena bearing his name.
  • E. Henry E. M. Beck Jr.
    Henry E. M. Beck Jr. is an American Democratic politician and attorney who serves as the State Treasurer of Maine.
  • 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: Thomas H. Beck
Triple: [Civil Air Patrol, foundedBy, Thomas H. Beck]
Generated description
Thomas H. Beck was an American magazine publisher and civic leader best known for helping establish the Civil Air Patrol during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas H. Beck
Target entity description: Thomas H. Beck was an American magazine publisher and civic leader best known for helping establish the Civil Air Patrol during World War II.
  • A. James B. Beck
    James B. Beck was a 19th-century Scottish-born American politician who served as a U.S. Representative and Senator from Kentucky.
  • B. John M. Bevan
    John M. Bevan was an American educator best known for founding Eckerd College in Florida.
  • C. William S. Beasley
    William S. Beasley is a television producer best known for his work on the classic 1970s cop series "Starsky & Hutch."
  • D. Charles R. Boling
    Charles R. Boling was a prominent supporter and benefactor of the University of Tennessee whose contributions led to the major campus venue Thompson–Boling Arena bearing his name.
  • E. Henry E. M. Beck Jr.
    Henry E. M. Beck Jr. is an American Democratic politician and attorney who serves as the State Treasurer of Maine.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a090ae5beb48190a17cd9ea6c0ca0d0 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bdfa0d481909027f6d7c846a7d6 completed May 17, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a090c4534b481908079407989ba51f6 completed May 17, 2026, 12:31 a.m.
Created at: April 8, 2026, 9:57 p.m.