Triple

T18200462
Position Surface form Disambiguated ID Type / Status
Subject Dana Ballard E435766 entity
Predicate authorOf P4244 FINISHED
Object Computer Vision (textbook) 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: Computer Vision (textbook) | Statement: [Dana Ballard, authorOf, Computer Vision (textbook)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Computer Vision (textbook)
Context triple: [Dana Ballard, authorOf, Computer Vision (textbook)]
  • A. Computer Vision (textbook) chosen
    Computer Vision is an influential textbook by Dana Ballard that provides a foundational, mathematically grounded introduction to the principles and algorithms underlying machine perception and image understanding.
  • B. The Psychology of Computer Vision (edited volume)
    The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
  • C. Learning to See
    "Learning to See" is an autobiographical essay by Eudora Welty that reflects on how her early experiences and observations shaped her development as a writer.
  • D. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
  • E. Deep Learning (book)
    Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d610f88190b4f69b1c433ea6b1 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.