Triple

T5309952
Position Surface form Disambiguated ID Type / Status
Subject Howard E118997 entity
Predicate hasNotableBearer P458 FINISHED
Object George Howard
George Howard is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Howard.
 E510753 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 Howard | Statement: [Howard, hasNotableBearer, George Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Howard
Context triple: [Howard, hasNotableBearer, George Howard]
  • A. George Dudley
    George Dudley was a prominent Canadian ice hockey executive and administrator who played a key role in shaping amateur hockey governance in Canada.
  • B. George Dudley
    George Dudley was a film art director known for his work on classic Hollywood productions, including the 1939 drama "The Rains Came."
  • C. George Thomas Hamilton
    George Thomas Hamilton is the son of American actor and film producer George Hamilton.
  • D. William Humphrey
    William Humphrey was an American actor and director of the silent film era, known for his character roles in early 20th-century cinema.
  • E. John George Howard
    John George Howard was a 19th-century English-born Canadian architect, surveyor, and civic leader in Toronto, best known for his significant land donations and contributions to the city's development.
  • 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 Howard
Triple: [Howard, hasNotableBearer, George Howard]
Generated description
George Howard is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Howard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Howard
Target entity description: George Howard is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Howard.
  • A. George Dudley
    George Dudley was a film art director known for his work on classic Hollywood productions, including the 1939 drama "The Rains Came."
  • B. George Dudley
    George Dudley was a prominent Canadian ice hockey executive and administrator who played a key role in shaping amateur hockey governance in Canada.
  • C. George Thomas Hamilton
    George Thomas Hamilton is the son of American actor and film producer George Hamilton.
  • D. William Humphrey
    William Humphrey was an American actor and director of the silent film era, known for his character roles in early 20th-century cinema.
  • E. John George Howard
    John George Howard was a 19th-century English-born Canadian architect, surveyor, and civic leader in Toronto, best known for his significant land donations and contributions to the city's development.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf14c687908190bafa9f99e10d7698 completed March 21, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_69bf15675c888190ae8107fdab02aa25 completed March 21, 2026, 10:02 p.m.
Created at: March 20, 2026, 1:53 p.m.