Triple

T705260
Position Surface form Disambiguated ID Type / Status
Subject Hendrik Wade Bode E14084 entity
Predicate givenName P17 FINISHED
Object Hendrik
Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
 E104689 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: Hendrik | Statement: [Hendrik Wade Bode, givenName, Hendrik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hendrik
Context triple: [Hendrik Wade Bode, givenName, Hendrik]
  • A. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • B. Nicolaas
    Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Pieter
    Pieter is the given first name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
  • E. Christiaan
    Christiaan is a masculine given name of Dutch and Afrikaans origin, commonly used in South Africa and the Netherlands.
  • 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: Hendrik
Triple: [Hendrik Wade Bode, givenName, Hendrik]
Generated description
Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hendrik
Target entity description: Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • A. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • B. Nicolaas
    Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Pieter
    Pieter is the given first name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
  • E. Christiaan
    Christiaan is a masculine given name of Dutch and Afrikaans origin, commonly used in South Africa and the Netherlands.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a544e3608190ac315c7aa9f88e7e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
NEDg Description generation batch_69a7c07c09f8819082e9c59d22f607cf completed March 4, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7c10b114c8190831a95519dd185a2 completed March 4, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:36 p.m.