Triple

T8672872
Position Surface form Disambiguated ID Type / Status
Subject Gerrit Anne Blaauw E205840 entity
Predicate influencedBy P9 FINISHED
Object Werner Buchholz E785699 NE FINISHED

How this triple was built (2 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: Werner Buchholz | Statement: [Gerrit Anne Blaauw, influencedBy, Werner Buchholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werner Buchholz
Context triple: [Gerrit Anne Blaauw, influencedBy, Werner Buchholz]
  • A. Werner Buchholz chosen
    Werner Buchholz was a German-American computer scientist best known for coining the term "byte" and contributing to the design of early IBM computers.
  • B. Carl Werner
    Carl Werner is a personal name shared by several notable individuals, including figures in fields such as art, science, and sports.
  • C. Herbert Weinert
    Herbert Weinert is an individual notable enough to be recognized as a prominent bearer of the surname Weinert.
  • D. Walter Naegle
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • E. John Carl Warnecke
    John Carl Warnecke was a prominent American architect known for his influential modernist designs and his role in shaping mid-20th-century civic and memorial architecture in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491b807c81909563a34a947bc21a completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d07719ee048190ac4045017d89e938 completed April 4, 2026, 2:27 a.m.
Created at: March 30, 2026, 6:31 p.m.