Triple

T4043016
Position Surface form Disambiguated ID Type / Status
Subject Marlboro College E83997 entity
Predicate foundedBy P104 FINISHED
Object Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
E507614 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: Walter Hendricks | Statement: [Marlboro College, foundedBy, Walter Hendricks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Hendricks
Context triple: [Marlboro College, foundedBy, Walter Hendricks]
  • A. Walter Ruick
    Walter Ruick was a film music professional associated with the score of the 1941 musical film "Babes on Broadway."
  • B. Walter Darre
    Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
  • C. Walter Davidson
    Walter Davidson was an American businessman and motorcycle pioneer best known as a co-founder and the first president of Harley-Davidson.
  • D. Walter Drey
    Walter Drey was an American businessman best known as a co-founder of Forbes, the influential business and finance magazine.
  • E. Walter Pitman
    Walter Pitman was an American geophysicist and oceanographer known for his pioneering work on seafloor spreading and plate tectonics.
  • 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: Walter Hendricks
Triple: [Marlboro College, foundedBy, Walter Hendricks]
Generated description
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walter Hendricks
Target entity description: Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
  • A. Walter Ruick
    Walter Ruick was a film music professional associated with the score of the 1941 musical film "Babes on Broadway."
  • B. Walter Darre
    Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
  • C. Walter Davidson
    Walter Davidson was an American businessman and motorcycle pioneer best known as a co-founder and the first president of Harley-Davidson.
  • D. Walter Drey
    Walter Drey was an American businessman best known as a co-founder of Forbes, the influential business and finance magazine.
  • E. Walter Pitman
    Walter Pitman was an American geophysicist and oceanographer known for his pioneering work on seafloor spreading and plate tectonics.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5b65c08190ba3f340ed18737f8 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe3ba3848190bcd62dd21229ca67 completed March 21, 2026, 8:23 p.m.
NEDg Description generation batch_69bf020b007881908ffc5fd50f89a309 completed March 21, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69bf02562e048190b5583f2f959b6c84 completed March 21, 2026, 8:40 p.m.
Created at: March 9, 2026, 3:37 p.m.