Triple

T786005
Position Surface form Disambiguated ID Type / Status
Subject Hunt E16802 entity
Predicate hasNotableBearer P458 FINISHED
Object George P. Hunt
George P. Hunt was an American politician who served as the first governor of the state of Arizona.
 E359727 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: George P. Hunt | Statement: [Hunt, hasNotableBearer, George P. Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George P. Hunt
Context triple: [Hunt, hasNotableBearer, George P. Hunt]
  • A. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • B. Arthur Loomis Harmon
    Arthur Loomis Harmon was an American architect best known as a partner in the firm that designed the Empire State Building.
  • C. Ralph E. Winters
    Ralph E. Winters was an Academy Award–winning Canadian-American film editor known for his work on numerous major Hollywood films throughout the mid-20th century.
  • D. John R. Hayes
    John R. Hayes is a cognitive psychologist and researcher known for his work on problem solving, creativity, and writing processes, often in collaboration with Herbert A. Simon.
  • E. Francis W. Sears
    Francis W. Sears was an American physicist and influential physics educator known for his widely used textbooks and contributions to physics teaching.
  • 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: George P. Hunt
Triple: [Hunt, hasNotableBearer, George P. Hunt]
Generated description
George P. Hunt was an American politician who served as the first governor of the state of Arizona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George P. Hunt
Target entity description: George P. Hunt was an American politician who served as the first governor of the state of Arizona.
  • A. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • B. Arthur Loomis Harmon
    Arthur Loomis Harmon was an American architect best known as a partner in the firm that designed the Empire State Building.
  • C. Ralph E. Winters
    Ralph E. Winters was an Academy Award–winning Canadian-American film editor known for his work on numerous major Hollywood films throughout the mid-20th century.
  • D. John R. Hayes
    John R. Hayes is a cognitive psychologist and researcher known for his work on problem solving, creativity, and writing processes, often in collaboration with Herbert A. Simon.
  • E. Francis W. Sears
    Francis W. Sears was an American physicist and influential physics educator known for his widely used textbooks and contributions to physics teaching.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36067f47881908de481e1350bcaff completed March 13, 2026, 12:55 a.m.
NEDg Description generation batch_69b3614702348190bd35c37d2059312f completed March 13, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_69b362451b848190a2fe80a17ab8f9c3 completed March 13, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:38 p.m.