Triple

T14137778
Position Surface form Disambiguated ID Type / Status
Subject Susan Kare E350341 entity
Predicate workedWith P398 FINISHED
Object Andy Hertzfeld E108390 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: Andy Hertzfeld | Statement: [Susan Kare, workedWith, Andy Hertzfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Hertzfeld
Context triple: [Susan Kare, workedWith, Andy Hertzfeld]
  • A. Andy Hertzfeld chosen
    Andy Hertzfeld is a pioneering software engineer best known as a key member of the original Apple Macintosh development team and a co-creator of the Mac’s graphical user interface.
  • B. Jim Weirich
    Jim Weirich was an influential American software developer and speaker best known in the Ruby community for his contributions to open-source tools and his work in promoting clean code practices.
  • C. L. Peter Deutsch
    L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
  • D. Victor Kilian
    Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
  • E. Tim Herlihy
    Tim Herlihy is an American screenwriter and producer best known for his long-running collaboration with Adam Sandler on numerous comedy films.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:38 a.m.