Triple

T10602356
Position Surface form Disambiguated ID Type / Status
Subject Stuart K. Card E275781 entity
Predicate coAuthor P398 FINISHED
Object Ben Shneiderman E355625 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: Ben Shneiderman | Statement: [Stuart K. Card, coAuthor, Ben Shneiderman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Shneiderman
Context triple: [Stuart K. Card, coAuthor, Ben Shneiderman]
  • A. Ben Shneiderman chosen
    Ben Shneiderman is a pioneering computer scientist and human-computer interaction researcher known for foundational work on user interface design and information visualization.
  • B. Bill Buxton
    Bill Buxton is a pioneering computer scientist and designer known for his influential work in human-computer interaction, input technologies, and user experience design.
  • C. Donald A. Norman
    Donald A. Norman is a cognitive scientist and design theorist best known for his influential work on user-centered design and the psychology of everyday objects.
  • D. Mark Weiser
    Mark Weiser was an American computer scientist best known as the pioneering visionary of ubiquitous computing, whose ideas profoundly shaped the future of human-computer interaction.
  • E. Steven K. Feiner
    Steven K. Feiner is a computer scientist known for his pioneering work in computer graphics and augmented reality, including influential textbooks and research on user interfaces and visualization.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.