Triple

T19693326
Position Surface form Disambiguated ID Type / Status
Subject Inception v4 E472889 entity
Predicate paperAuthorsInclude P63068 FINISHED
Object Vincent Vanhoucke NE NERFINISHED

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: Vincent Vanhoucke | Statement: [Inception v4, paperAuthorsInclude, Vincent Vanhoucke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Vanhoucke
Context triple: [Inception v4, paperAuthorsInclude, Vincent Vanhoucke]
  • A. Vincent Vanhoucke chosen
    Vincent Vanhoucke is a prominent machine learning researcher and engineering leader known for his influential work in deep learning and artificial intelligence at Google.
  • B. Vincent van den Ende
    Vincent van den Ende is a writer best known for his work on the Dutch television series "Intentions."
  • C. Gustave Van de Woestyne
    Gustave Van de Woestyne was a Belgian painter associated with the early 20th-century Flemish Expressionist movement, known for his introspective portraits and symbolically charged rural scenes.
  • D. Theo Francken
    Theo Francken is a Belgian politician known for his hardline stance on immigration and prominent role within the New Flemish Alliance (N-VA).
  • E. Edmé-Martin Vandermaelen
    Edmé-Martin Vandermaelen was a 19th-century Belgian cartographer and publisher known for creating one of the first comprehensive, large-scale atlases of the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64211e5d481908358d922e0dca271 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.