Triple

T12177782
Position Surface form Disambiguated ID Type / Status
Subject Emma Willard E290133 entity
Predicate child P120 FINISHED
Object John Willard Hart
John Willard Hart was the son of pioneering American women's education advocate and school founder Emma Willard.
 E977531 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 Willard Hart | Statement: [Emma Willard, child, John Willard Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Willard Hart
Context triple: [Emma Willard, child, John Willard Hart]
  • A. Ralph Nelson
    Ralph Nelson was an American film and television director, producer, and writer known for works such as "Lilies of the Field" and "Requiem for a Heavyweight."
  • B. Charles Nelson Murret
    Charles Nelson Murret was the husband of Marguerite Frances Claverie, known primarily through this marital connection.
  • C. Phil Kahl
    Phil Kahl was a music industry figure best known as a co-founder of the influential American record label Roulette Records.
  • D. Charles Nelson
    Charles Nelson was a film editor active in early 1940s American cinema, known for his work on studio-era features.
  • E. Harold Rowe Holbrook Jr.
    Harold Rowe Holbrook Jr. was an American actor best known for his acclaimed stage and screen portrayals of Mark Twain and numerous character roles in film and television.
  • 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 Willard Hart
Triple: [Emma Willard, child, John Willard Hart]
Generated description
John Willard Hart was the son of pioneering American women's education advocate and school founder Emma Willard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Willard Hart
Target entity description: John Willard Hart was the son of pioneering American women's education advocate and school founder Emma Willard.
  • A. Ralph Nelson
    Ralph Nelson was an American film and television director, producer, and writer known for works such as "Lilies of the Field" and "Requiem for a Heavyweight."
  • B. Charles Nelson Murret
    Charles Nelson Murret was the husband of Marguerite Frances Claverie, known primarily through this marital connection.
  • C. Phil Kahl
    Phil Kahl was a music industry figure best known as a co-founder of the influential American record label Roulette Records.
  • D. Charles Nelson
    Charles Nelson was a film editor active in early 1940s American cinema, known for his work on studio-era features.
  • E. Harold Rowe Holbrook Jr.
    Harold Rowe Holbrook Jr. was an American actor best known for his acclaimed stage and screen portrayals of Mark Twain and numerous character roles in film and television.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a88b3b08190aef789b1965bbe80 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c54e6b08190bdae0ec35cc1c48d completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:50 p.m.