Triple

T23154883
Position Surface form Disambiguated ID Type / Status
Subject HyperCard E578412 entity
Predicate developer P73 FINISHED
Object Bill Atkinson 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: Bill Atkinson | Statement: [HyperCard, developer, Bill Atkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Atkinson
Context triple: [HyperCard, developer, Bill Atkinson]
  • A. Bill Atkinson chosen
    Bill Atkinson is an American computer engineer and software designer best known as a key member of the original Apple Macintosh team and creator of MacPaint and HyperCard.
  • B. Jef Raskin
    Jef Raskin was a human–computer interface expert and computer scientist best known for initiating and leading the early development of Apple’s Macintosh project.
  • C. Thomas Knoll
    Thomas Knoll is an American software engineer and co-creator of Adobe Photoshop, whose early image-editing program evolved into the industry-standard digital imaging software.
  • D. Larry Tesler
    Larry Tesler was an influential computer scientist and user-interface pioneer best known for his work at Xerox PARC and Apple, including inventing cut-copy-paste and advancing modeless computing.
  • E. 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.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efca1f081908ff1c34ba25f40c3 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.