Triple

T9524334
Position Surface form Disambiguated ID Type / Status
Subject Hubbard E229721 entity
Predicate hasNotableBearer P458 FINISHED
Object Ray W. Hubbard
Ray W. Hubbard is an American politician who served as a member of the Texas House of Representatives.
 E812572 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: Ray W. Hubbard | Statement: [Hubbard, hasNotableBearer, Ray W. Hubbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ray W. Hubbard
Context triple: [Hubbard, hasNotableBearer, Ray W. Hubbard]
  • A. Richard B. Hubbard
    Richard B. Hubbard was a 19th-century American politician who served as Governor of Texas and later as U.S. Minister to Japan.
  • B. Ted Hubbard
    Ted Hubbard is a notable individual who shares the surname Hubbard and has achieved sufficient recognition to be specifically distinguished among its bearers.
  • C. Anthony Hubbard
    Anthony Hubbard is the fictional FBI Special Agent in Charge portrayed by Denzel Washington in the 1998 action-thriller film "The Siege."
  • D. R.C. Slocum
    R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
  • E. Robert L. Lippert
    Robert L. Lippert was an American film producer and distributor known for his prolific output of low-budget genre movies from the 1940s through the 1960s.
  • 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: Ray W. Hubbard
Triple: [Hubbard, hasNotableBearer, Ray W. Hubbard]
Generated description
Ray W. Hubbard is an American politician who served as a member of the Texas House of Representatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ray W. Hubbard
Target entity description: Ray W. Hubbard is an American politician who served as a member of the Texas House of Representatives.
  • A. Richard B. Hubbard
    Richard B. Hubbard was a 19th-century American politician who served as Governor of Texas and later as U.S. Minister to Japan.
  • B. Ted Hubbard
    Ted Hubbard is a notable individual who shares the surname Hubbard and has achieved sufficient recognition to be specifically distinguished among its bearers.
  • C. Anthony Hubbard
    Anthony Hubbard is the fictional FBI Special Agent in Charge portrayed by Denzel Washington in the 1998 action-thriller film "The Siege."
  • D. R.C. Slocum
    R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
  • E. Robert L. Lippert
    Robert L. Lippert was an American film producer and distributor known for his prolific output of low-budget genre movies from the 1940s through the 1960s.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9899f99481908d374528716027f8 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1820ed0c88190a91652965077755a completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d182ef83e881908a579b6a696ebdc3 completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d1836f1be48190a172834ce9eaafe3 completed April 4, 2026, 9:32 p.m.
Created at: March 30, 2026, 7:59 p.m.