Triple

T12540261
Position Surface form Disambiguated ID Type / Status
Subject de Groot E299816 entity
Predicate variantForm P4680 FINISHED
Object Degroot
Degroot is a surname of Dutch origin, commonly used as a variant spelling of "de Groot."
 E990096 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: Degroot | Statement: [de Groot, variantForm, Degroot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Degroot
Context triple: [de Groot, variantForm, Degroot]
  • A. Erving
    Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
  • B. Blumer
    Blumer is the surname of Herbert Blumer, an influential American sociologist known for developing the theory of symbolic interactionism.
  • C. Grothe
    Grothe is a surname most notably associated with D.J. Grothe, an American writer and speaker known for his work in skepticism and secularism.
  • D. Shapley
    Shapley is a surname most notably associated with American astronomer Harlow Shapley, a key figure in determining the size and structure of the Milky Way galaxy.
  • E. Kemeny
    Kemeny is a surname most notably associated with figures such as mathematician and computer scientist John G. Kemeny, co-developer of the BASIC programming language and former president of Dartmouth College.
  • 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: Degroot
Triple: [de Groot, variantForm, Degroot]
Generated description
Degroot is a surname of Dutch origin, commonly used as a variant spelling of "de Groot."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Degroot
Target entity description: Degroot is a surname of Dutch origin, commonly used as a variant spelling of "de Groot."
  • A. Erving
    Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
  • B. Blumer
    Blumer is the surname of Herbert Blumer, an influential American sociologist known for developing the theory of symbolic interactionism.
  • C. Grothe
    Grothe is a surname most notably associated with D.J. Grothe, an American writer and speaker known for his work in skepticism and secularism.
  • D. Shapley
    Shapley is a surname most notably associated with American astronomer Harlow Shapley, a key figure in determining the size and structure of the Milky Way galaxy.
  • E. Kemeny
    Kemeny is a surname most notably associated with figures such as mathematician and computer scientist John G. Kemeny, co-developer of the BASIC programming language and former president of Dartmouth College.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557cb180819083ee10708320199e completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.