Triple

T7561258
Position Surface form Disambiguated ID Type / Status
Subject Non-Stop E178798 entity
Predicate writer P1360 FINISHED
Object John W. Richardson
John W. Richardson is a screenwriter best known for co-writing the action thriller film "Non-Stop" starring Liam Neeson.
E760290 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 W. Richardson | Statement: [Non-Stop, writer, John W. Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John W. Richardson
Context triple: [Non-Stop, writer, John W. Richardson]
  • A. John H. Vreeland
    John H. Vreeland was an American lawyer and Republican politician from New Jersey who served as a state senator in the late 19th and early 20th centuries.
  • B. Andrew P. Armacost
    Andrew P. Armacost is an American academic leader and former U.S. Air Force Academy dean who serves as president of the University of North Dakota.
  • C. John L. Hines
    John L. Hines was a United States Army general who served as Army Chief of Staff in the 1920s and was a prominent commander during World War I.
  • D. Donald W. Sherburne
    Donald W. Sherburne was an American philosopher and prominent interpreter of Alfred North Whitehead’s process philosophy.
  • E. Richard T. Wetherald
    Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
  • 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 W. Richardson
Triple: [Non-Stop, writer, John W. Richardson]
Generated description
John W. Richardson is a screenwriter best known for co-writing the action thriller film "Non-Stop" starring Liam Neeson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John W. Richardson
Target entity description: John W. Richardson is a screenwriter best known for co-writing the action thriller film "Non-Stop" starring Liam Neeson.
  • A. John H. Vreeland
    John H. Vreeland was an American lawyer and Republican politician from New Jersey who served as a state senator in the late 19th and early 20th centuries.
  • B. Andrew P. Armacost
    Andrew P. Armacost is an American academic leader and former U.S. Air Force Academy dean who serves as president of the University of North Dakota.
  • C. John L. Hines
    John L. Hines was a United States Army general who served as Army Chief of Staff in the 1920s and was a prominent commander during World War I.
  • D. Donald W. Sherburne
    Donald W. Sherburne was an American philosopher and prominent interpreter of Alfred North Whitehead’s process philosophy.
  • E. Richard T. Wetherald
    Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf883201d481909efd2f57e852a175 completed April 3, 2026, 9:28 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 27, 2026, 3:50 p.m.