Triple

T14342097
Position Surface form Disambiguated ID Type / Status
Subject Donald A. Norman E355628 entity
Predicate name P16 FINISHED
Object Donald A. Norman E355628 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: Donald A. Norman | Statement: [Donald A. Norman, name, Donald A. Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald A. Norman
Context triple: [Donald A. Norman, name, Donald A. Norman]
  • A. Donald A. Norman chosen
    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.
  • B. Ben Shneiderman
    Ben Shneiderman is a pioneering computer scientist and human-computer interaction researcher known for foundational work on user interface design and information visualization.
  • C. 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.
  • D. James Gibson
    James Gibson was an American politician who served as a Canal Commissioner in New York State, helping oversee the development and management of its canal system.
  • E. James Gibson
    James Gibson was a British architect best known for designing the Middlesex Guildhall in London, now home to the Supreme Court of the United Kingdom.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e87febc8190a63c668cbd0fd713 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469bc538819099ed5b7061cf140d completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.